A memory profiler for data batch processing applications.

These details have not been verified by PyPI

Project links

Homepage

Project description

The Fil memory profiler for Python

Your Python code reads some data, processes it, and uses too much memory; maybe it even dies due to an out-of-memory error. In order to reduce memory usage, you first need to figure out:

Where peak memory usage is, also known as the high-water mark.
What code was responsible for allocating the memory that was present at that peak moment.

That's exactly what Fil will help you find. Fil an open source memory profiler designed for data processing applications written in Python, and includes native support for Jupyter. Fil runs on Linux and macOS, and supports CPython 3.7 and later.

Getting help

For more information, you can read the documentation.
If you need help or have any questions, feel free to file an issue or start a discussion. When in doubt, please ask—I love questions.

What users are saying

"Within minutes of using your tool, I was able to identify a major memory bottleneck that I never would have thought existed. The ability to track memory allocated via the Python interface and also C allocation is awesome, especially for my NumPy / Pandas programs."

—Derrick Kondo

"Fil has just pointed straight at the cause of a memory issue that's been costing my team tons of time and compute power. Thanks again for such an excellent tool!"

—Peter Sobot

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

 http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

2024.11.2

Nov 4, 2024

2024.10.1

Nov 3, 2024

2024.10.0

Nov 3, 2024

2023.3.1

Mar 18, 2023

2023.3.0

Mar 1, 2023

2023.1.0

Jan 20, 2023

2022.11.0

Nov 7, 2022

2022.10.1

Oct 25, 2022

2022.10.0

Oct 19, 2022

2022.9.3

Sep 30, 2022

2022.9.2

Sep 29, 2022

2022.9.1

Sep 14, 2022

2022.9.0

Sep 13, 2022

This version

2022.7.1

Jul 24, 2022

2022.7.0

Jul 22, 2022

2022.6.0

Jun 19, 2022

2022.5.0

May 19, 2022

2022.3.0

Mar 27, 2022

2022.1.1

Jan 30, 2022

2022.1.0

Jan 26, 2022

2021.12.2

Dec 15, 2021

2021.12.1

Dec 4, 2021

2021.12.0

Dec 3, 2021

2021.11.2

Nov 19, 2021

2021.11.1

Nov 19, 2021

2021.11.0

Nov 8, 2021

2021.9.1

Sep 27, 2021

2021.9.0

Sep 24, 2021

2021.8.0

Aug 17, 2021

2021.7.1

Jul 19, 2021

2021.7.0 yanked

Jul 12, 2021

Reason this release was yanked:

Segfaults on Ubuntu

2021.5.0

May 6, 2021

2021.4.4

Apr 28, 2021

2021.4.3

Apr 15, 2021

2021.4.2

Apr 14, 2021

2021.4.1

Apr 8, 2021

2021.4.0

Apr 1, 2021

2021.3.0

Mar 19, 2021

0.17.0

Mar 2, 2021

0.16.0

Feb 25, 2021

0.15.0

Feb 18, 2021

0.14.1

Jan 15, 2021

0.14.0

Jan 13, 2021

0.13.1

Nov 30, 2020

0.13.0

Nov 27, 2020

0.12.0

Nov 21, 2020

0.11.0

Nov 19, 2020

0.10.0

Aug 28, 2020

0.9.0

Aug 13, 2020

0.8.0

Jul 24, 2020

0.7.2

Jul 12, 2020

0.7.1

Jul 7, 2020

0.7.0

Jul 3, 2020

0.6.0

Jul 1, 2020

0.5.3

Jun 22, 2020

0.4.0

Jun 15, 2020

0.3.3

Jun 10, 2020

0.3.2

Jun 4, 2020

0.3.1

May 25, 2020

0.3.0

May 21, 2020

0.2.3

May 18, 2020

0.2.2

May 15, 2020

0.2.1

May 15, 2020

0.2.0

May 15, 2020

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Source Distributions

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Built Distributions

filprofiler-2022.7.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl (506.3 kB view hashes)

Uploaded Jul 24, 2022 PyPy macOS 10.15+ x86-64

filprofiler-2022.7.1-pp38-pypy38_pp73-macosx_10_15_x86_64.whl (506.3 kB view hashes)

Uploaded Jul 24, 2022 PyPy macOS 10.15+ x86-64

filprofiler-2022.7.1-pp37-pypy37_pp73-macosx_10_15_x86_64.whl (507.0 kB view hashes)

Uploaded Jul 24, 2022 PyPy macOS 10.15+ x86-64

filprofiler-2022.7.1-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.5 MB view hashes)

Uploaded Jul 24, 2022 CPython 3.10 manylinux: glibc 2.12+ x86-64

filprofiler-2022.7.1-cp310-cp310-macosx_11_0_arm64.whl (482.8 kB view hashes)

Uploaded Jul 24, 2022 CPython 3.10 macOS 11.0+ ARM64

filprofiler-2022.7.1-cp310-cp310-macosx_10_15_x86_64.whl (506.0 kB view hashes)

Uploaded Jul 24, 2022 CPython 3.10 macOS 10.15+ x86-64

filprofiler-2022.7.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.5 MB view hashes)

Uploaded Jul 24, 2022 CPython 3.9 manylinux: glibc 2.12+ x86-64

filprofiler-2022.7.1-cp39-cp39-macosx_11_0_arm64.whl (482.8 kB view hashes)

Uploaded Jul 24, 2022 CPython 3.9 macOS 11.0+ ARM64

filprofiler-2022.7.1-cp39-cp39-macosx_10_15_x86_64.whl (506.0 kB view hashes)

Uploaded Jul 24, 2022 CPython 3.9 macOS 10.15+ x86-64

filprofiler-2022.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.5 MB view hashes)

Uploaded Jul 24, 2022 CPython 3.8 manylinux: glibc 2.12+ x86-64

filprofiler-2022.7.1-cp38-cp38-macosx_11_0_arm64.whl (483.0 kB view hashes)

Uploaded Jul 24, 2022 CPython 3.8 macOS 11.0+ ARM64

filprofiler-2022.7.1-cp38-cp38-macosx_10_15_x86_64.whl (506.3 kB view hashes)

Uploaded Jul 24, 2022 CPython 3.8 macOS 10.15+ x86-64

filprofiler-2022.7.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.5 MB view hashes)

Uploaded Jul 24, 2022 CPython 3.7m manylinux: glibc 2.12+ x86-64

filprofiler-2022.7.1-cp37-cp37m-macosx_10_15_x86_64.whl (506.9 kB view hashes)

Uploaded Jul 24, 2022 CPython 3.7m macOS 10.15+ x86-64

Hashes for filprofiler-2022.7.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl

Hashes for filprofiler-2022.7.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`3330c25e78149e448876d18edfcf8afc6216700e042ca93fd2ff95a8593ffa98`
MD5	`c6461786c88d84fbb1f715116eddf938`
BLAKE2b-256	`a3bc2fc993da2b351580f360affef4ee54272105077a037dad14981c57be8daf`

Hashes for filprofiler-2022.7.1-pp38-pypy38_pp73-macosx_10_15_x86_64.whl

Hashes for filprofiler-2022.7.1-pp38-pypy38_pp73-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`5b71bd924876d66cc3a757fa8255220bde03537a410c989125d9d6efbbb09b09`
MD5	`3f46746f9b1eb3126616616c4622e403`
BLAKE2b-256	`9a6f6971428e373ad1233accf785880f05a2ebba263e496d67a22748060654e1`

Hashes for filprofiler-2022.7.1-pp37-pypy37_pp73-macosx_10_15_x86_64.whl

Hashes for filprofiler-2022.7.1-pp37-pypy37_pp73-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`4c81bf6f2f41374d9d60e34580e849f94d5c97f3a5357baf3415efc16efe22e3`
MD5	`05ef4ca4ec8cb5781fd8ec5bc4105b34`
BLAKE2b-256	`dce75c1846e6c330dc362604562f4c45c37c9fa53d96f92af1949b955039679f`

Hashes for filprofiler-2022.7.1-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for filprofiler-2022.7.1-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`c4ad604d06b62ad243ec47d52645f539341a728eb86556d50a548c9b89097170`
MD5	`805ed9b448094712904b11f6f35069be`
BLAKE2b-256	`704fc0bb548df8719d68eb1953ced2bccc635dc84964c6891a81c8459aad62f5`

Hashes for filprofiler-2022.7.1-cp310-cp310-macosx_11_0_arm64.whl

Hashes for filprofiler-2022.7.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`096d1cc471309e95c19bb879fd89a994367fae280aca766c7a43e12e7bd78132`
MD5	`f183eacc898c17ed293635337eed5b45`
BLAKE2b-256	`720860889e3ceafde4d5b1422d1c514edca6ef39a972dcfbf4545f06966f5208`

Hashes for filprofiler-2022.7.1-cp310-cp310-macosx_10_15_x86_64.whl

Hashes for filprofiler-2022.7.1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`14566503ab9a8bb0fe6e9203e2e05db21f235a32e8a32bdb7907871e9f585b87`
MD5	`8843576d3b8fece151809df2da7d40b6`
BLAKE2b-256	`ef7b85b95ba11c7ec354d319ce23a652485992e25c0902c34ab1fb31795e7a4d`

Hashes for filprofiler-2022.7.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for filprofiler-2022.7.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`16f7e582743cf36b15fda1ffaafca80fd64f037213aeccf41535dcd6af59006a`
MD5	`9b366a91750cc26c207e2d7248ec7ae9`
BLAKE2b-256	`57aabf501846b666d1410b851d548c53d97868bce15abe39453ef4578056b46e`

Hashes for filprofiler-2022.7.1-cp39-cp39-macosx_11_0_arm64.whl

Hashes for filprofiler-2022.7.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`78676d6389e91a2115614aec50686f7856638de97226dcf8ebf31ed3754cc8db`
MD5	`69c29223ee39f2f7d28a3390025052c8`
BLAKE2b-256	`d24946a01092c3cab24961e33a794d4c4b832d265e88f9183a694d97086178d9`

Hashes for filprofiler-2022.7.1-cp39-cp39-macosx_10_15_x86_64.whl

Hashes for filprofiler-2022.7.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`aeb8d6dc296b8187e4bfd9f0b52dd806bcd8a2a3a14676c1babc75d397a94d4b`
MD5	`135da0177ad5b9bf33829d166c68bfdb`
BLAKE2b-256	`e2a5a14e7deb9b03d62ae7fcb1fa78509a2b37dfc8722266055d48c025d0600a`

Hashes for filprofiler-2022.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for filprofiler-2022.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`4ed612a7231e46e27b46f21122fcbccac224528e6a2008da1f377ca3928eec77`
MD5	`d9eb340869b3f6a4091cd10b454f1940`
BLAKE2b-256	`d313ab995afc93bff4f358be441cbeab7c8b223683d6a4e8dce95b1c32656a30`

Hashes for filprofiler-2022.7.1-cp38-cp38-macosx_11_0_arm64.whl

Hashes for filprofiler-2022.7.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`97a6609adf9bcedf8a49a63b0381390f6ecfceb2e22bb6056a61799001ba0c78`
MD5	`7aecd2b19c0876f56b468da0e9a3e4e7`
BLAKE2b-256	`8b1a23bae401d42735877f0fa15153fdd2361a667d2915beacde36d5bd64fae2`

Hashes for filprofiler-2022.7.1-cp38-cp38-macosx_10_15_x86_64.whl

Hashes for filprofiler-2022.7.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`1dea5918cb69e5a5a0694ee2412dafa58a8ff38f4dff8e2a58b5eeb3ac889f42`
MD5	`58b6a9079ece7c7921ce4485f3d0d655`
BLAKE2b-256	`c4805d303068e4632ef7346602729f10851e6094d2f32d9b793acdcec399a5a3`

Hashes for filprofiler-2022.7.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for filprofiler-2022.7.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`1bf2a2e5d22f09aee6fa7858edb4af8733b78890f5332a66a1bf6d08a0698531`
MD5	`c6c83e2b9bc87775650676db61e6478a`
BLAKE2b-256	`c019e17243057c150af143dae6bfc64b9d3caa23f6c254ba2451b0f892d5aa8a`

Hashes for filprofiler-2022.7.1-cp37-cp37m-macosx_10_15_x86_64.whl

Hashes for filprofiler-2022.7.1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`440cabeab4016a7c02ed2fc57e473b27e7aadeb5cfe87da2c25a2949ddf8b6d7`
MD5	`82dbeee48d294a908f31240192536f0a`
BLAKE2b-256	`4f6d232b8f453f1469cc396409d76d1f2214b1657e6280bc0a46ed55b25100f5`