OpenAutoLoader is a high-performance, incremental ingestion engine built on Polars. It tracks processed files, handles schema drift with Rescue Mode, and sinks data to Delta Lake with full ACID guarantees. No Spark, no JVM, just fast Python.
Hey PH! 👋 I'm Nitish, a Data Engineer from India and I built OpenAutoLoader as a hobby project scratching my own itch as a Data Engineer tired of the Spark tax.
Every time I needed a simple incremental pipeline, the answer was always "just use Spark." But Spark comes with a massive operational overhead for jobs that really don't need it. I wanted the elegance of Databricks Auto Loader schema inference, incremental checkpointing, new-file detection without spinning up a cluster just to move some CSVs.
So I built it on Polars. Fast, lightweight, and a joy to work with.
It's MIT licensed, a passion project, and built for anyone who just wants clean incremental pipelines without the overhead.
Would love your honest feedback, what's missing, what's confusing, what would make you actually switch to it? 🙏
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About OpenAutoLoader on Product Hunt
“Databricks Auto Loader, but open-source and Spark-free.”
OpenAutoLoader was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #82 on the daily leaderboard. OpenAutoLoader is a high-performance, incremental ingestion engine built on Polars. It tracks processed files, handles schema drift with Rescue Mode, and sinks data to Delta Lake with full ACID guarantees. No Spark, no JVM, just fast Python.
OpenAutoLoader was featured in Developer Tools (511k followers), GitHub (41.2k followers), Tech (621.5k followers) and Data (2.3k followers) on Product Hunt. Together, these topics include over 247.5k products, making this a competitive space to launch in.
Who hunted OpenAutoLoader?
OpenAutoLoader was hunted by Nitish Katkade. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Nitish Katkade