The hand-picked selection of the best Python libraries and tools of 2022

This page summarizes the projects mentioned and recommended in the original post on /r/Python

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  1. ruff

    An extremely fast Python linter and code formatter, written in Rust.

    Ruff — a fast linter

  2. 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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  3. python-benedict

    :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

    python-benedict — a dict on steroids

  4. memray

    Memray is a memory profiler for Python

    Memray — a memory profiler

  5. codon

    A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

    Codon — a Python compiler using LLVM

  6. langchain

    Discontinued ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain] (by hwchase17)

    LangChain — building LLM-powered apps

  7. fugue

    A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

    fugue — distributed computing done easy

  8. diffusers

    🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

    Diffusers — generative AI

  9. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  10. lineapy

    Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

    LineaPy — notebooks in production

  11. whylogs

    An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

    whylogs — model monitoring

  12. mito

    Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

    Mito — spreadsheet inside notebooks

  13. lingua-py

    The most accurate natural language detection library for Python, suitable for short text and mixed-language text

    Hi u/dekked_, perhaps you want to add my natural language detection library Lingua to the NLP section of the long tail. It is pretty unique among the natural language detection libraries for Python because it is able to detect multiple languages in mixed-language text. It is also one of the most accurate libraries when detecting the language of short text. I would very much appreciate if you added my library to your list.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?