pandas-dev/pandas

Prefer upstream pandas unless you specifically need this fork's custom, legacy behavior. Choose this fork only if its local changes are required and you are prepared to own the maintenance burden.

Choose this fork only if you specifically need its older 2019-era behavior or one of its backported fixes. For most adopters, upstream pandas is the better choice because this fork is heavily stale and far behind current maintenance.

Prefer upstream pandas for new work. Choose this fork only if you need its legacy behavior or specific fork-local changes and are prepared to maintain a large, stale divergence yourself.

Prefer this fork only if you need its custom local changes and are willing to carry a large divergence from upstream. For most users, upstream pandas is the safer choice because it is far more current and better maintained.

Prefer this fork only if you are locked to legacy pandas behavior; otherwise upstream pandas is the better choice because this fork is heavily out of date and materially diverged.

Prefer this fork only if you specifically want its LLM-processing/examples angle and can tolerate major loss of upstream pandas completeness. For general pandas use, upstream is the better choice.

Prefer upstream pandas unless you explicitly need this fork's legacy behavior or custom internals; the fork is materially outdated and highly divergent, so adoption is only sensible for compatibility-constrained projects that can accept ongoing maintenance work.

Choose this fork only if you want a customized pandas base and are prepared to own divergence. For most adopters who want current, stable pandas behavior with minimal maintenance overhead, upstream is the safer choice.

Prefer upstream pandas unless you specifically need legacy behavior or this fork's older demo/compatibility changes. For most adopters, the fork's staleness and distance from current pandas outweigh its narrow advantages.