head to head · open source
Scrapling vs Apache Pinot
Scrapling has 81,798 GitHub stars, 8,307 forks, 6 open issues and last shipped 4 days ago. Apache Pinot has 6,138 stars, 1,509 forks, 1,403 open issues and last shipped yesterday. Scrapling leads on adoption by 1,233% (81,798 vs 6,138 stars). Scrapling is written in Python under BSD-3-Clause; Apache Pinot is written in Java under Apache-2.0. Scrapling has attracted 10% as many forks as stars, Apache Pinot 25%. Apache Pinot was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Scrapling | Apache Pinot | |
|---|---|---|
| GitHub stars | ★ 82K | ★ 6.1K |
| License | BSD-3-Clause | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-09-14 | 2026-09-17 |
| Forks | ⑂ 8.3K | ⑂ 1.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Scrapling if
- You weight community size — 82K stars and counting
- You want the BSD-3-Clause license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Apache Pinot if
- You want the Apache Pinot feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and Apache Pinot fits your workflow better
About Scrapling
Scrapling is an adaptive Python web scraping framework for developers, data teams, and regular users who need anything from a single request to a full scale crawl without rewriting selectors every time a site changes.
read the full Scrapling overview →
About Apache Pinot
Apache Pinot is a real time distributed OLAP datastore built to deliver scalable real time analytics at low latency. It lives in the Java ecosystem, is licensed under Apache 2.0, and was originally built by engineers at LinkedIn and Uber. The project ingests from batch data sources such as Hadoop HDFS, Amazon S3, Azure ADLS, and Google Cloud Storage, as well as from stream data sources such as Apache Kafka. It is designed to scale up and out with no upper bound, and its performance stays constant based on the size of the cluster and an expected query per second threshold.
read the full Apache Pinot overview →
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Frequently asked questions
Is Scrapling or Apache Pinot more popular?
Scrapling has 81,798 GitHub stars and Apache Pinot has 6,138. Scrapling has the larger community by that measure.
Are Scrapling and Apache Pinot free?
Both are open source. Scrapling is licensed under BSD-3-Clause and Apache Pinot under Apache-2.0. Neither carries a licence fee.
What is the difference between Scrapling and Apache Pinot?
Scrapling is written in Python and Apache Pinot in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Scrapling or Apache Pinot?
Choose Scrapling if you want the larger community (81,798 stars) or its BSD-3-Clause licence terms. Choose Apache Pinot if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.