Software Alternatives & Reviews

GitHub Star History Graph

star-history OSSInsight OctoSQL
  1. The missing star history graph of github repos
    Pricing:
    • Open Source
    I am the maintainer of star-history.com. Thanks for posting this on HN. Just to share a trick, you can also use markdown to embed a live star history chart to your GitHub README. e.g. ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=bytebase/star-history&type=Date)](https://star-history.com/#bytebase/star-history&Date) Instruction: https://star-history.com/#bytebase/star-history&Date Enjoy~.

    #Productivity #Open Source #Growth Hacking 26 social mentions

  2. It’s a useful insight tool that can give you the most updated open-source intelligence, and help you deeply understand any single GitHub project or quickly compare any two projects by digging deep into 4.6 billion GitHub events in real-time
    Pricing:
    • Open Source
    We are building a similar tool https://ossinsight.io/ which saves nearly 45B events from GitHub and can let you get more powerful insights from the project, e.g here is the history insights for K8s https://api.ossinsight.io/share/9825e242-4ec4-49b1-9c7a-c5baa134e7e9, enjoy it by yourself :-).

    #Open Source #Productivity #Developer Tools 14 social mentions

  3. OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql
    I recommend adding telemetry to your project (and I know a lot of people feel strongly about this, so I'll add: with a very easy way of disabling it). In OctoSQL[0] I'm literally just sending JSON files with coarse information about 1. Invocations of the CLI, 2. Features used in these invocations, to a VM on DigitalOcean (with a 10-line server receiving them and writing to a JSON file - which I can then process using OctoSQL itself). Thanks to this I knew that until recently most of what I had were stars, not actual usage, and could also see how the big rewrite I released in January (and the following updates) made a lot of people start actually using it since. Very nice feeling :) PS: Keep in mind that https requests take a long time, as they need to do a few roundtrips for the TLS handshake. Don't do that if you have latency-sensitive invocations. I.e. In OctoSQL I'm only sending aggregated telemetry data every 10 invocations (as well as on the very first one). [0]:https://github.com/cube2222/octosql.

    #Databases #Big Data #Relational Databases 22 social mentions

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