Alternatives
Products that do what Dataframes in Elixir Backed by Rust does
- 1PE
2018 · bluejekyll.github.io
- 2CA
2018 · github.com
- 3VO
2018 · medium.com
- 4AC
2017 · github.com
- 5AE
2020 · github.com
- 6EA
2015 · bsago.me
- 7IA
2014 · github.com
- 8RL
2021 · github.com
- 9AA
May 2026 · github.com
- 10RD
May 2026 · github.com
- 11AF
2020 · github.com
- 12RM
2021 · hexdocs.pm
- 13AT
2017 · github.com
- 14FA
2021 · github.com
- 15AW
2018 · github.com
- 16AF
2016 · github.com
- 17PJ
2018 · github.com
- 18JA
2020 · crates.io
- 19ML
2016 · github.com
- 20DD
Hey all! I wrote Explorer[1] a good few years ago now with the dream of fast dataframes with a dplyr-like API in a really powerful, ergonomic language (Elixir). It's proved pretty successful. Explorer is used in production at my company, and it's my go-to for quick data analysis. But maintaining it became a true albatross. Polars is an amazing project, but the development process is fast and a lot is very focused on the Python lib. We found that trying to maintain Explorer against Polars was a maintenance nightmare and eventually hit points where we had to give up features and found it…
Mar 2026 · github.com
- 21PW
2021 · github.com
- 22EA
2021 · engula.io
- 23JA
2018 · github.com
- 24R
A unified, high-performance data validation and serialization framework for Rust, inspired by Pydantic's ergonomics and powered by Serde.
Mar 2026 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →