PyArrow
Shares rank 11 of 14 Python libraries by recommenders
People recommend PyArrow as a strong modern choice for working with data, often alongside Polars and DuckDB, and for its better data type handling. The most common caveat is that it is very heavy.
People recommend PyArrow as a strong modern choice for working with data, often alongside Polars and DuckDB, and for its better data type handling. The most common caveat is that it is very heavy.
6 people gave an opinion
- recommend it
- 6
- criticize it
- 0
- approval share
- 100%
Recommended in 4 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 6 people recommend itNeeds 10 or more, not met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 4 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Pairs well with Polars and DuckDB
“Everything that I build greenfield moving forward I plan to use DuckDB, Polars, or PyArrow.”
Comment from 6 Oct 2026 in “Polars 2.0” “Polars+pyarrow+ibis have replaced most of my pandas usage.”
Comment from 22 Dec 2025 in “A year of vibes” Seen as a good modern data choice
“Everything that I build greenfield moving forward I plan to use DuckDB, Polars, or PyArrow.”
Comment from 6 Oct 2026 in “Polars 2.0” “I totally agree that these are the good choices”
Comment from 6 Oct 2026 in “Polars 2.0”
What people warn about
Each mark is one comment
Very heavy package
“Pyarrow is great but it is very heavy.”
Comment from 6 Oct 2026 in “Polars 2.0” Best with little data transformation
“straight up arrow if you aren't doing much transformation of the data”
Comment from 6 Oct 2026 in “Polars 2.0”
Other Python libraries people recommend
The four most recommended other Python libraries, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
See all 14 Python libraries, rankedWhat people said
7 of the 8 comments that mention it, newest first. Each links to the original comment.
“Pyarrow is great but it is very heavy.”
“straight up arrow if you aren't doing much transformation of the data”
“since it has better data type ergonomics”
“I totally agree that these are the good choices”
“Everything that I build greenfield moving forward I plan to use DuckDB, Polars, or PyArrow.”
“The footprint is so small!”
“Polars+pyarrow+ibis have replaced most of my pandas usage.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.