Database Abstraction Library

Navigation

Verified details

These details have been verified by PyPI
Owner
organization icon SQLAlchemy
Maintainers
Avatar for CaselIT from gravatar.com CaselIT

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Mike Bayer
  • Requires: Python !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, >=2.7
Classifiers

Project description

PyPI PyPI - Python Version PyPI - Downloads

The Python SQL Toolkit and Object Relational Mapper

Introduction

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.

Major SQLAlchemy features include:

  • An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. These patterns allow transparent persistence of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically.

  • A relationally-oriented query system, exposing the full range of SQL’s capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. Writing queries with the ORM uses the same techniques of relational composition you use when writing SQL. While you can drop into literal SQL at any time, it’s virtually never needed.

  • A comprehensive and flexible system of eager loading for related collections and objects. Collections are cached within a session, and can be loaded on individual access, all at once using joins, or by query per collection across the full result set.

  • A Core SQL construction system and DBAPI interaction layer. The SQLAlchemy Core is separate from the ORM and is a full database abstraction layer in its own right, and includes an extensible Python-based SQL expression language, schema metadata, connection pooling, type coercion, and custom types.

  • All primary and foreign key constraints are assumed to be composite and natural. Surrogate integer primary keys are of course still the norm, but SQLAlchemy never assumes or hardcodes to this model.

  • Database introspection and generation. Database schemas can be “reflected” in one step into Python structures representing database metadata; those same structures can then generate CREATE statements right back out - all within the Core, independent of the ORM.

SQLAlchemy’s philosophy:

  • SQL databases behave less and less like object collections the more size and performance start to matter; object collections behave less and less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles.

  • An ORM doesn’t need to hide the “R”. A relational database provides rich, set-based functionality that should be fully exposed. SQLAlchemy’s ORM provides an open-ended set of patterns that allow a developer to construct a custom mediation layer between a domain model and a relational schema, turning the so-called “object relational impedance” issue into a distant memory.

  • The developer, in all cases, makes all decisions regarding the design, structure, and naming conventions of both the object model as well as the relational schema. SQLAlchemy only provides the means to automate the execution of these decisions.

  • With SQLAlchemy, there’s no such thing as “the ORM generated a bad query” - you retain full control over the structure of queries, including how joins are organized, how subqueries and correlation is used, what columns are requested. Everything SQLAlchemy does is ultimately the result of a developer- initiated decision.

  • Don’t use an ORM if the problem doesn’t need one. SQLAlchemy consists of a Core and separate ORM component. The Core offers a full SQL expression language that allows Pythonic construction of SQL constructs that render directly to SQL strings for a target database, returning result sets that are essentially enhanced DBAPI cursors.

  • Transactions should be the norm. With SQLAlchemy’s ORM, nothing goes to permanent storage until commit() is called. SQLAlchemy encourages applications to create a consistent means of delineating the start and end of a series of operations.

  • Never render a literal value in a SQL statement. Bound parameters are used to the greatest degree possible, allowing query optimizers to cache query plans effectively and making SQL injection attacks a non-issue.

Documentation

Latest documentation is at:

https://www.sqlalchemy.org/docs/

Installation / Requirements

Full documentation for installation is at Installation.

Getting Help / Development / Bug reporting

Please refer to the SQLAlchemy Community Guide.

Code of Conduct

Above all, SQLAlchemy places great emphasis on polite, thoughtful, and constructive communication between users and developers. Please see our current Code of Conduct at Code of Conduct.

License

SQLAlchemy is distributed under the MIT license.

Project details

Verified details

These details have been verified by PyPI
Owner
organization icon SQLAlchemy
Maintainers
Avatar for CaselIT from gravatar.com CaselIT

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Mike Bayer
  • Requires: Python !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, >=2.7
Classifiers

Release history Release notifications | RSS feed

2.0.36

2.0.35

2.0.34

2.0.33

2.0.32

2.0.31

2.0.30

2.0.29

2.0.28

2.0.27

2.0.26

2.0.25

2.0.24

2.0.23

2.0.22

2.0.21

2.0.20

2.0.19

2.0.18

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5.post1

2.0.5 yanked

Reason this release was yanked:

wheel files failed to build due to a test issue

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0rc3 pre-release

2.0.0rc2 pre-release

2.0.0rc1 pre-release

2.0.0b4 pre-release

2.0.0b3 pre-release

2.0.0b2 pre-release

2.0.0b1 pre-release

1.4.54

1.4.53

1.4.52

1.4.51

1.4.50

This version

1.4.49

1.4.48

1.4.47

1.4.46

1.4.45

1.4.44

1.4.43

1.4.42

1.4.41

1.4.40

1.4.39

1.4.38

1.4.37

1.4.36

1.4.35

1.4.34 yanked

Reason this release was yanked:

critical caching issue identified, 1.4.35 resolves

1.4.33 yanked

Reason this release was yanked:

Regression when inserting orm models using insert. See https://github.com/sqlalchemy/sqlalchemy/issues/7878

1.4.32

1.4.31

1.4.30

1.4.29

1.4.28

1.4.27

1.4.26

1.4.25

1.4.24

1.4.23

1.4.22

1.4.21

1.4.20

1.4.19

1.4.18

1.4.17

1.4.16

1.4.15

1.4.14

1.4.13

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0b3 pre-release

1.4.0b2 pre-release

1.4.0b1 pre-release

1.3.24

1.3.23

1.3.22

1.3.21

1.3.20

1.3.19

1.3.18

1.3.17

1.3.16

1.3.15

1.3.14

1.3.13

1.3.12

1.3.11

1.3.10

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.3.0b3 pre-release

1.3.0b2 pre-release

1.3.0b1 pre-release

1.2.19

1.2.18

1.2.17

1.2.16

1.2.15

1.2.14

1.2.13

1.2.12

1.2.11

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.2.0b3 pre-release

1.2.0b2 pre-release

1.2.0b1 pre-release

1.1.18

1.1.17

1.1.16

1.1.15

1.1.14

1.1.13

1.1.12

1.1.11

1.1.10

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.1.0b3 pre-release

1.1.0b2 pre-release

1.1.0b1 pre-release

1.0.19

1.0.18

1.0.17

1.0.16

1.0.15

1.0.14

1.0.13

1.0.12

1.0.11

1.0.10

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0b5 pre-release

1.0.0b4 pre-release

1.0.0b3 pre-release

1.0.0b2 pre-release

1.0.0b1 pre-release

0.9.10

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.8.0b2 pre-release

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.6beta3 pre-release

0.6beta2 pre-release

0.6beta1 pre-release

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.5.0rc4 pre-release

0.5.0rc3 pre-release

0.5.0rc2 pre-release

0.5.0rc1 pre-release

0.5.0beta3 pre-release

0.5.0beta2 pre-release

0.5.0beta1 pre-release

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.2b pre-release

0.4.2a pre-release

0.4.1

0.4.0

0.4.0beta6 pre-release

0.4.0beta5 pre-release

0.4.0beta4 pre-release

0.4.0beta3 pre-release

0.4.0beta2 pre-release

0.4.0beta1 pre-release

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SQLAlchemy-1.4.49.tar.gz (8.5 MB view details)

Uploaded Source

Built Distributions

SQLAlchemy-1.4.49-cp312-cp312-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.12 Windows x86-64

SQLAlchemy-1.4.49-cp312-cp312-win32.whl (1.6 MB view details)

Uploaded CPython 3.12 Windows x86

SQLAlchemy-1.4.49-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

SQLAlchemy-1.4.49-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp312-cp312-macosx_10_9_universal2.whl (1.6 MB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

SQLAlchemy-1.4.49-cp311-cp311-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

SQLAlchemy-1.4.49-cp311-cp311-win32.whl (1.6 MB view details)

Uploaded CPython 3.11 Windows x86

SQLAlchemy-1.4.49-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

SQLAlchemy-1.4.49-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp311-cp311-macosx_10_9_universal2.whl (1.6 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

SQLAlchemy-1.4.49-cp310-cp310-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

SQLAlchemy-1.4.49-cp310-cp310-win32.whl (1.6 MB view details)

Uploaded CPython 3.10 Windows x86

SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp310-cp310-macosx_11_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

SQLAlchemy-1.4.49-cp39-cp39-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

SQLAlchemy-1.4.49-cp39-cp39-win32.whl (1.6 MB view details)

Uploaded CPython 3.9 Windows x86

SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp39-cp39-macosx_11_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

SQLAlchemy-1.4.49-cp38-cp38-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

SQLAlchemy-1.4.49-cp38-cp38-win32.whl (1.6 MB view details)

Uploaded CPython 3.8 Windows x86

SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp38-cp38-macosx_11_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

SQLAlchemy-1.4.49-cp37-cp37m-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

SQLAlchemy-1.4.49-cp37-cp37m-win32.whl (1.6 MB view details)

Uploaded CPython 3.7m Windows x86

SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp37-cp37m-macosx_11_0_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

SQLAlchemy-1.4.49-cp36-cp36m-win_amd64.whl (1.6 MB view details)

Uploaded CPython 3.6m Windows x86-64

SQLAlchemy-1.4.49-cp36-cp36m-win32.whl (1.6 MB view details)

Uploaded CPython 3.6m Windows x86

SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp36-cp36m-macosx_10_14_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.6m macOS 10.14+ x86-64

SQLAlchemy-1.4.49-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.6 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.5+ x86-64

SQLAlchemy-1.4.49-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.6 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.5+ x86-64

File details

Details for the file SQLAlchemy-1.4.49.tar.gz.

File metadata

  • Download URL: SQLAlchemy-1.4.49.tar.gz
  • Upload date:
  • Size: 8.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for SQLAlchemy-1.4.49.tar.gz
Algorithm Hash digest
SHA256 06ff25cbae30c396c4b7737464f2a7fc37a67b7da409993b182b024cec80aed9
MD5 92cb7d6c3a826b940ae0ef620a652819
BLAKE2b-256 277cab28273996e8e5b78ddaeddbc1df54033231ff325827b3149d51334ed852

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 7cf8b90ad84ad3a45098b1c9f56f2b161601e4670827d6b892ea0e884569bd1d
MD5 950b4db35bb372289a8c04a568520e59
BLAKE2b-256 9235923a4b81bc8ba658f2f74a26d8113e06ff552f366cc3da816627bfebcb4f

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp312-cp312-win32.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 9a06e046ffeb8a484279e54bda0a5abfd9675f594a2e38ef3133d7e4d75b6214
MD5 e5804aae291d79b722647d9a4eb1d1fb
BLAKE2b-256 013f6fc832dbbaad2884207ed3266f96cf5340f668e462849385f8df05e12454

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8396e896e08e37032e87e7fbf4a15f431aa878c286dc7f79e616c2feacdb366c
MD5 645c62c29b7efae7d4ed5350860b7749
BLAKE2b-256 81415561956306cd71a28465fba98ef96b6d33206fddd3ff5330009e3b177809

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 66da9627cfcc43bbdebd47bfe0145bb662041472393c03b7802253993b6b7c90
MD5 e97f98c8e5ee00ac0c580515186a616c
BLAKE2b-256 26682bbf5737330d687201c97584c4db54c8a3cb9c7d9755da9f247382235c1a

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 f23755c384c2969ca2f7667a83f7c5648fcf8b62a3f2bbd883d805454964a800
MD5 15c38f96379d158283b5c4fb33afcab3
BLAKE2b-256 de927311fe2d392faa24b19371b6262058d780ec6b965eee4f5eb56af19c4a97

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 171e04eeb5d1c0d96a544caf982621a1711d078dbc5c96f11d6469169bd003f1
MD5 bdd3fca2c1c42f8c2262286816d7bd67
BLAKE2b-256 0b206fd76f54f25d896162fd9d5d4d7176f9d6a2cdfc838c039b69d5560a223f

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp311-cp311-win32.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 82b08e82da3756765c2e75f327b9bf6b0f043c9c3925fb95fb51e1567fa4ee87
MD5 79efa42526994c113f27ae1c9dfbee85
BLAKE2b-256 a18303ac21cbcb3b223f132fcfc2ba2ff9048b47bbac71dc1323ce2ed8d43465

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a9ab2c507a7a439f13ca4499db6d3f50423d1d65dc9b5ed897e70941d9e135b0
MD5 d1649b1e5738397fa83f225a4336c691
BLAKE2b-256 82d873bbde9576dc7d54bd3c619836347cd6bded6ea481f658f47e5aa41ceb8b

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5debe7d49b8acf1f3035317e63d9ec8d5e4d904c6e75a2a9246a119f5f2fdf3d
MD5 25009992fe9bee5fbe67ae7e36d64cb9
BLAKE2b-256 106809f08f931a8f4277a25feab191bbdaa443a6275184b3842aaae4bb486392

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 8923dfdf24d5aa8a3adb59723f54118dd4fe62cf59ed0d0d65d940579c1170a4
MD5 0fee5140a12e2ddba88d112ba9e03d82
BLAKE2b-256 473dde827556bafdc40a4db10a5beccaee31d1840871ce867a372e7a37bf7c95

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f8a65990c9c490f4651b5c02abccc9f113a7f56fa482031ac8cb88b70bc8ccaa
MD5 dcc5bdf321363cd694e80760463faccc
BLAKE2b-256 3aaa402c24f9ede469c17d03d9bc09ba2eb78c60728e2332051b8ee34316c522

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp310-cp310-win32.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 5fb1ebdfc8373b5a291485757bd6431de8d7ed42c27439f543c81f6c8febd729
MD5 927c16fef3ba61080363b22d7b9b8f63
BLAKE2b-256 276529849a44a740f18170c6037e52acb5da1bd9c28b5adc6b4eeda456aef531

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a63e43bf3f668c11bb0444ce6e809c1227b8f067ca1068898f3008a273f52b09
MD5 20b93b400563b32cf2a3fe2cddc5df5c
BLAKE2b-256 c4ccaf97a5bbafb97a80cfd6383a36f45e98a9db5118e3de3fefd2867adef6b0

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9c21b172dfb22e0db303ff6419451f0cac891d2e911bb9fbf8003d717f1bcf91
MD5 e4f21757b696ee20cf3c30c30f680c89
BLAKE2b-256 77684ce3f0677a4c5f51a91624a7c41921ea39aac1e39502d252ff339ec6cd3b

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f835c050ebaa4e48b18403bed2c0fda986525896efd76c245bdd4db995e51a4c
MD5 f2bc45fd31f33f042c396b8293f668c2
BLAKE2b-256 79d19f208d7fee0e8258b84bcae9c65940c67080f838fcf29663cad9a86c1b7e

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ca46de16650d143a928d10842939dab208e8d8c3a9a8757600cae9b7c579c5cd
MD5 4fed81c6187535d14a5e1efd9a3599b7
BLAKE2b-256 a6980356876234ea1ed9401d980381c1ba7bb86b9b76f686bf162064ad293dfc

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 95b9df9afd680b7a3b13b38adf6e3a38995da5e162cc7524ef08e3be4e5ed3e1
MD5 561f7db624b493617352f153c8574ddc
BLAKE2b-256 c632a9dbe5b28e1a5b988baf40a2c6611cd62d40b89a3cfb720f82733d2ed69c

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 bbdf16372859b8ed3f4d05f925a984771cd2abd18bd187042f24be4886c2a15f
MD5 1c19e85b4f3af2053a0d4afcf97f5305
BLAKE2b-256 d45227a2310c66bdfc139e8aac7a2395fb2bca5082465d9554c1788b89a3799b

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp39-cp39-win32.whl.

File metadata

  • Download URL: SQLAlchemy-1.4.49-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for SQLAlchemy-1.4.49-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 ec2268de67f73b43320383947e74700e95c6770d0c68c4e615e9897e46296294
MD5 d7b823b7becfcc3bba85817b58178f9e
BLAKE2b-256 683f9c5b4fe09a2fcf9c665873d0af5b7c00e9a8dd235097a92902aa030810db

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a843e34abfd4c797018fd8d00ffffa99fd5184c421f190b6ca99def4087689bd
MD5 1473e6121f77f7fed67fd7d8aeb68bc9
BLAKE2b-256 a2343eee788e27391eca0b4ee11eb03f034d24dcb4eec46d003d3c80f591ae8f

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d26f280b8f0a8f497bc10573849ad6dc62e671d2468826e5c748d04ed9e670d5
MD5 172859b4131dce0c0b5cb4ed98f631ce
BLAKE2b-256 1b213aa5406575603c15a9eb1e76d5f6a7c7d29682eedb9f643a43e54e8c4f29

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1c890421651b45a681181301b3497e4d57c0d01dc001e10438a40e9a9c25ee77
MD5 1501c6d9a13f1c9e9284b26ce01b8c4e
BLAKE2b-256 ebd8b16f12768de85169f8b4c9bc1b12173cebdda5b5655280e9f381b7ec451d

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 738d7321212941ab19ba2acf02a68b8ee64987b248ffa2101630e8fccb549e0d
MD5 47500d4fd62a38c9360ba2f6ff437b08
BLAKE2b-256 c16ab38e97fcc68e3f98d5b78cd46365561d93a6ba152ef5c6281f47f7e54f6d

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 b6d0c4b15d65087738a6e22e0ff461b407533ff65a73b818089efc8eb2b3e1de
MD5 cf93648962585861ebc38273aa0b9740
BLAKE2b-256 6710d16f9331827cacbc9ac8f797fb59ddcbc5e5d6e83095729bad937f65bd25

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 45806315aae81a0c202752558f0df52b42d11dd7ba0097bf71e253b4215f34f4
MD5 5d6e631bb914f30dbbceb12a3bc7e62e
BLAKE2b-256 976947d5066f0b2e4418f554081f6ee1d603c2f571fbfe20ba23b000cb617b24

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp38-cp38-win32.whl.

File metadata

  • Download URL: SQLAlchemy-1.4.49-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for SQLAlchemy-1.4.49-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 f167c8175ab908ce48bd6550679cc6ea20ae169379e73c7720a28f89e53aa532
MD5 7a4e51645399db9073e1cacbfe24fd81
BLAKE2b-256 47013ff16f7d50ef78c69f3bd08000c24642fa4d9a5bc47184c2480ed6a66d38

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a1878ce508edea4a879015ab5215546c444233881301e97ca16fe251e89f1c55
MD5 6572ea337e2c05cf8e2a42e0b1c1e306
BLAKE2b-256 51e57da85a201b9244e4f737c13ecd27f242463c35b2544fff51802413413bb8

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ccf956da45290df6e809ea12c54c02ace7f8ff4d765d6d3dfb3655ee876ce58d
MD5 ed1d0f3001a72a57e6dd8438c0287b96
BLAKE2b-256 d915fc7995542fe947b3b5e85862369fa0182f45ce429a317d86e695cf23ec14

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0e8e608983e6f85d0852ca61f97e521b62e67969e6e640fe6c6b575d4db68557
MD5 c1ddd88945c9cf5bb911cd38819d2644
BLAKE2b-256 14a9ae7072e1baed0785bb1c2c6ca39534dcf76ed0ae1f1c3a31574c06e085cb

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 95ab792ca493891d7a45a077e35b418f68435efb3e1706cb8155e20e86a9013c
MD5 c5b50a4404f170e134380d8bd11db1aa
BLAKE2b-256 6fa7a19d3d93734607744682d4b1d8b6b54d66b7860e2aa9beb67e1956f56d75

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 37ce517c011560d68f1ffb28af65d7e06f873f191eb3a73af5671e9c3fada08a
MD5 51710410d3098cb2df5307088ea60876
BLAKE2b-256 25412a9dfb51cd5f406abdf8adce5399c33e4299c12830bad1fea7dd3a129516

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ab73ed1a05ff539afc4a7f8cf371764cdf79768ecb7d2ec691e3ff89abbc541e
MD5 af7292f4868b5baba95cbaebd7448797
BLAKE2b-256 b3a13d24c30e03cc755e6bc27077177e603ae0df5a545fcb55b992e40fb7ba36

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp37-cp37m-win32.whl.

File metadata

  • Download URL: SQLAlchemy-1.4.49-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for SQLAlchemy-1.4.49-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 647e0b309cb4512b1f1b78471fdaf72921b6fa6e750b9f891e09c6e2f0e5326f
MD5 f045f42217c5750577ca864b1d21e54d
BLAKE2b-256 697ab18599db0af20c4a83eb29d2a411b8f4c2253cf036033c31860cba0ce430

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 24e300c0c2147484a002b175f4e1361f102e82c345bf263242f0449672a4bccf
MD5 ca2fa5c5e7c62bf0bed4bb1f386e9c14
BLAKE2b-256 a9f37bd5d1c94af8a59f76781a566333c4a353b4e9955eeb45c72c8feeecb5d3

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7653ed6817c710d0c95558232aba799307d14ae084cc9b1f4c389157ec50df5c
MD5 03d98a30e1a79b14170a3f3c6fbf1550
BLAKE2b-256 b43a78aefb3a2ab4181401339116bcdcf442a5c33f8c0df51a53dd6d45d88b86

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 201de072b818f8ad55c80d18d1a788729cccf9be6d9dc3b9d8613b053cd4836d
MD5 8543003b23c91cc7fa73920dadf1db77
BLAKE2b-256 3444dbbe8614dec34011985318d78d36062882f1d708f6d53bad330152f0bf12

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 393cd06c3b00b57f5421e2133e088df9cabcececcea180327e43b937b5a7caa5
MD5 b5e3d56354c0ce9aab20c47c630c6f9c
BLAKE2b-256 baca58b9cd1365bab0bae4ea66e5b327663f4589375bbb5c82df201ec34c066d

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 4afbbf5ef41ac18e02c8dc1f86c04b22b7a2125f2a030e25bbb4aff31abb224b
MD5 90722acefcd237985c0f7c863ff89ad4
BLAKE2b-256 75264c4445317b021d29f086f7ef8e47bd1355b70eb35baf03b98a7f175a106b

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 a7f7b5c07ae5c0cfd24c2db86071fb2a3d947da7bd487e359cc91e67ac1c6d2e
MD5 755f69e2b545685caa359ab117164483
BLAKE2b-256 14d8b10e0addc1d82adbcf104e6bded3b41f9631457d51e3e6017acfe58b2911

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp36-cp36m-win32.whl.

File metadata

  • Download URL: SQLAlchemy-1.4.49-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for SQLAlchemy-1.4.49-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 706bfa02157b97c136547c406f263e4c6274a7b061b3eb9742915dd774bbc264
MD5 e53d8f45d3c2aa8acbecff4a8d006183
BLAKE2b-256 7226bf807c7f302af626bd9b3e8a0665ed034c0c0b68fd1a415b5d2f54bba292

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b31e67ff419013f99ad6f8fc73ee19ea31585e1e9fe773744c0f3ce58c039c30
MD5 9f93e30d5e6c9e9a2e92b38b9deb72e1
BLAKE2b-256 50599f5164eaf95e16e9829bdffa4b74abae9bbb9acd4fe66a1e1c65bea80a81

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c40f3470e084d31247aea228aa1c39bbc0904c2b9ccbf5d3cfa2ea2dac06f26d
MD5 5c98916cdb75f78374b400bc069f6a07
BLAKE2b-256 1b5a0b56c217ee200984476a0cfa0434925afff08705711d6da9d8cd25a1c258

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c14b29d9e1529f99efd550cd04dbb6db6ba5d690abb96d52de2bff4ed518bc95
MD5 b25ea41f1b4fd99d2871426377725fee
BLAKE2b-256 c67faf5bcd96ea6c3bb516975ae17a5c5852fa3ec9d2e993b7e75b3656926c1c

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ebc22807a7e161c0d8f3da34018ab7c97ef6223578fcdd99b1d3e7ed1100a5db
MD5 50865590b815a520fb3f5c09cb633248
BLAKE2b-256 bfbb8c2f216abadebab9eae41dcdc102f9a8a070f02f97f93872d6d9ff31b3fc

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp36-cp36m-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 36e58f8c4fe43984384e3fbe6341ac99b6b4e083de2fe838f0fdb91cebe9e9cb
MD5 71ec3ba8e79ba5c03f3862d95a557d15
BLAKE2b-256 ba74d4e8093c7995e77438075b155acbae2888e49309bd96991507fa33578a11

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 03db81b89fe7ef3857b4a00b63dedd632d6183d4ea5a31c5d8a92e000a41fc71
MD5 fe2e07ae6bb1dee435315f0cb9d7c928
BLAKE2b-256 4ae079a08e64a6440c632f3d657fe76a2eb8cf29571cfa3318c44aa669193682

See more details on using hashes here.

File details

Details for the file SQLAlchemy-1.4.49-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-1.4.49-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2e126cf98b7fd38f1e33c64484406b78e937b1a280e078ef558b95bf5b6895f6
MD5 3720e7956b7c74ddbbfc6c2282769f17
BLAKE2b-256 bcb7b49ce18a7c52c0486f6acfa51f5de77087827448b3361af707bb71982465

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page