The fastest way to build data apps in Python

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jroes-streamlit from gravatar.com jroes-streamlit Avatar for kmcgrady from gravatar.com kmcgrady Avatar for treuille from gravatar.com treuille Avatar for tvst from gravatar.com tvst

Unverified details

These details have not been verified by PyPI
Project links
Meta

Project description

Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours! All in pure Python. All for free.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jroes-streamlit from gravatar.com jroes-streamlit Avatar for kmcgrady from gravatar.com kmcgrady Avatar for treuille from gravatar.com treuille Avatar for tvst from gravatar.com tvst

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

1.40.1

1.40.0

1.39.0

1.38.0

1.37.1

1.37.0

1.36.0

1.35.0

1.34.0

1.33.0

1.32.2

1.32.2rc1 pre-release

1.32.1

1.32.0

1.31.1

1.31.0

1.30.0

1.29.0

1.28.2

1.28.1

1.28.0

1.27.2

1.27.1

1.27.0

1.26.1

1.26.0

1.25.0

1.24.1

1.24.0

1.23.1

1.23.0

1.22.0

1.21.0

1.20.0

1.19.0

1.18.1

1.18.1rc1 pre-release

1.18.0

1.17.0

1.16.0

1.15.2

1.15.2rc1 pre-release

1.15.1

1.15.0

1.14.1

1.14.1rc1 pre-release

1.14.0

1.14.0rc1 pre-release

1.13.0

1.13.0rc2 pre-release

1.13.0rc1 pre-release

1.12.2

1.12.2rc2 pre-release

1.12.2rc1 pre-release

1.12.1

1.12.1rc1 pre-release

1.12.0

1.12.0rc2 pre-release

1.12.0rc1 pre-release

1.11.1

1.11.1rc1 pre-release

1.11.0

1.11.0rc1 pre-release

1.10.0

1.10.0rc2 pre-release

1.10.0rc1 pre-release

1.9.2

1.9.2rc1 pre-release

1.9.1

1.9.1rc2 pre-release

1.9.1rc1 pre-release

1.9.0

1.9.0rc1 pre-release

1.8.1

1.8.1rc1 pre-release

1.8.0

1.8.0rc1 pre-release

1.7.0

1.6.0

1.6.0rc4 pre-release

1.6.0rc3 pre-release

1.5.1

1.5.0

1.4.0

1.3.1

1.3.0

1.2.0

1.1.0

1.0.0

0.89.0

0.88.0

0.87.0

0.86.0

0.85.1

0.85.0

0.84.2

0.84.1

0.84.0

0.83.0

0.82.0

0.81.1

0.81.0

0.80.0

0.79.0

0.78.0

0.77.0

0.76.0

0.75.0

0.74.1

0.74.0

0.73.1

0.73.0

0.72.0

0.71.0

0.70.0

0.69.2

0.69.1

0.69.0

0.68.1

0.68.0

0.67.1

This version

0.67.0

0.66.0

0.65.2

0.65.1

0.65.0

0.64.0

0.63.1

0.63.0

0.62.1

0.62.0

0.61.0

0.60.0

0.59.0

0.58.0

0.57.3

0.57.2

0.57.1

0.57.0

0.56.0

0.55.2

0.55.0

0.54.0

0.53.0

0.52.2

0.52.1

0.52.0

0.51.0

0.50.2

0.50.1

0.50.0

0.49.0

0.48.1

0.48.0

0.47.4

0.47.3

0.47.2

0.47.1

0.47.0

0.46.0

0.45.0

0.44.0

0.43.2

0.43.1

0.43.0

0.42.0

0.41.0

0.40.1

0.40.0

0.37.0

0.36.0

0.35.0

0.34.0

0.33.0

0.32.0

0.31.0

0.30.0

0.29.0

0.28.0

0.27.0

0.26.1

0.26.0

0.25.0

0.24.3

0.24.2

0.24.1

0.24.0

0.23.0

0.22.2

0.22.1

0.22.0

0.21.0

0.20.0

0.19.1

0.19.0

0.18.1

0.18.0

0.17.2

0.17.1

0.17.0

0.16.3

0.16.2

0.16.1

0.16.0

0.15.6

0.15.5

0.15.4

0.15.3

0.15.2

0.15.1

0.15.0

0.14.2

0.13.5

0.13.3

0.13.1

0.13.0

0.12.4

0.12.3

0.12.2

0.11.0

0.9.0

0.8.2

0.8

0.7

0.6

0.5

0.4

0.3

0.2

0.1

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

streamlit-0.67.0-py2.py3-none-any.whl (7.2 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file streamlit-0.67.0-py2.py3-none-any.whl.

File metadata

  • Download URL: streamlit-0.67.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5

File hashes

Hashes for streamlit-0.67.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8117c1f6fbd5518fd4d4a0448074688a28e7a7b7c28546e09cae6ab6b5bfc029
MD5 c90c46a4e7be8885822041c8f50f1dcd
BLAKE2b-256 f6e45ab46ba33f3e8d996cdbfd6e1c8969f63ca61f9f1cc84c82d6e65946ac0f

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