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Flit Alternatives
Similar projects and alternatives to flit
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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sampleproject
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
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pip-audit
Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
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pypyr automation task runner
pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.
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code-indexer-loop
Discontinued Code Indexer Loop is a Python library for indexing and retrieving source code files through an integrated vector database that's continuously and efficiently updated.
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better flit alternative or higher similarity.
flit discussion
flit reviews and mentions
Posts with mentions or reviews of flit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-09.
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Show HN: Code Indexer Loop
Queries on https://github.com/pypa/flit/tree/main/flit_core/flit_core (omitted tests/)
(Pdb) print(indexer.query("def normalize_dist_name(name: str, version: str) -> str:"))
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Underappreciated Challenges with Python Packaging
If it's pure Python, the only packaging file you need is `pyproject.toml`. You can fill that file with packaging metadata per PEP 518 and PEP 621, including using modern build tooling like flit[1] for the build backend and build[2] for the frontend.
With that, you entire package build (for all distribution types) should be reducible to `python -m build`. Here's an example of a full project doing everything with just `pyproject.toml`[3] (FD: my project).
[1]: https://github.com/pypa/flit
[2]: https://github.com/pypa/build
[3]: https://github.com/pypa/pip-audit
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Easy Packing and Publishing to PyPi with Flit, pytest, and Circleci
I published a very simple project flit_pytest_circleci_template that uses: * [flit](https://github.com/pypa/flit) to build a package. * pytest to test it * circleci to run the above and publish the package to pypi whenever a source file is committed. This is the hard part IMO as I do not know circleci well (and didn't know it at all when I started this project).
- Python un-updatable, suggestions?
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Comparison of Python TOML parser libraries
flit
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How to make a Python package in 2021
I hadn't heard of flit, it does seem like it's not brand new on the scene, however it is primarily a single contributor:
https://github.com/takluyver/flit/graphs/contributors
With a title like this, I'd be expecting to see an article describing the latest tools and recommendations from the PyPA.
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A note from our sponsor - Judoscale
judoscale.com | 29 Apr 2025
Stats
Basic flit repo stats
6
2,205
9.0
about 1 month ago
pypa/flit is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of flit is Python.
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Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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