Dev tools · alternatives · 2026
24 alternatives to Python Package Download Leaderboard
Track PyPI's Hottest Packages: Monthly Top 8000 Downloads
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Python Package Download Leaderboard launched in 2024; newer entries below may have overtaken it.
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RankDevs▲197Track, analyse and increase your programming activity
2025 · rankdevs.com · its alternatives →
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- 3PS
2018 · github.com · its alternatives →
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Discover the most popular, trending, and essential packages
2025 · npmleaderboard.org · its alternatives →
- 5BP
2019 · github.com · its alternatives →
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Spotify Wrapped for Claude, Codex & a Public leaderboard.
Jun 2026 · whoburnedmore.com · its alternatives →
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Track your favorite Github awesome repos, not just star them
2021 · its alternatives →
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PyPI analytics dashboard for maintainers with AI insights
Mar 2026 · pypistats.com · its alternatives →
- 9LO
I created a leaderboard showcasing the top 1000 GitHub repositories based on the number of stars. With GitHub hosting over 100 million public repositories, this leaderboard highlights the top 0.001% in terms of the number of stars. Stars might not be the perfect metric for adoption—metrics like the number of monthly downloads could be more accurate—but this list still represents some of the most popular and influential projects in the open-source community. You can check out the leaderboard here: https://githublb.vercel.app/
2024 · githublb.vercel.app · its alternatives →
- 10DY
2015 · github-awards.com · its alternatives →
- 11AC
2016 · github.com · its alternatives →
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- 13D0
deptry 0.14.0 was just released, bringing significant speed improvements: It is now up to 10 times faster than the previous release! For those unfamiliar with deptry; deptry is a command line tool to check for issues with dependencies in a Python project, such as unused or missing dependencies. GitHub: https://github.com/fpgmaas/deptry For some benchmarks of the new release, see the release notes: https://github.com/fpgmaas/deptry/releases/tag/0.14.0 The performance improvement was achieved by leveraging Rust to parse the AST and extract…
2024 · github.com · its alternatives →
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PyDeps▲9The Most Complete Python Package Dependency Explorer
Jul 2026 · pydeps.com · its alternatives →
- 15
Buildermark▲93Measure how much of your code is AI-generated. Open source.
Apr 2026 · buildermark.dev · its alternatives →
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GitHub's Constellation: Top 1000 Stellar Projects
2024 · its alternatives →
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- 18CO
Thought i'd share some recent work i'd done after being generally frustrated as to the available analytics for Python modules. Most seem to be either limited in time or incur charges to query. Code is Apache 2 at https://github.com/clickHouse/clickpy The downloads for Python modules are actually available in BigQuery - a row for every package download in the world. Last time i checked it's the largest BigQuery public dataset at almost 700b rows. Wanting to do some serious analytics led to a few frustrations though: - speed for queries - BigQuery is great for complex SQL,…
2023 · clickpy.clickhouse.com · its alternatives →
- 19PS
Pipask is a drop-in replacement for pip that addresses a serious security flaw: standard pip executes arbitrary code from source distributions during dependency resolution, without warning or consent. Pipask retrieves metadata through PyPI's JSON API first, then checks repository popularity, download counts, package age, and known vulnerabilities before allowing installation. It presents you with a pretty report and asks for you consent with installation, giving you control over what code runs on your system. More details in the intro blog post:…
2025 · github.com · its alternatives →
- 20PC
2017 · github.com · its alternatives →
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Track NPM package downloads with this free tool.
2025 · npm-downlytics.mazyar.dev · its alternatives →
- 22ID
Hello, I have several years of experience as a Python developer, and during that time, I've worked on intricate applications dealing with large volumes of data. One frequent challenge I faced was benchmarking the application and identifying performance bottlenecks. While there are some excellent Python profiling tools available, they can be quite daunting for beginners. The utility I have developed simplifies this process, making it as straightforward as possible to transition from slow code to a detailed flame chart. I would greatly appreciate your feedback!
2023 · github.com · its alternatives →
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