head to head · open source

excelize vs roapi

excelize has 20,920 GitHub stars, 1,949 forks, 131 open issues and last shipped today. roapi has 3,434 stars, 209 forks, 66 open issues and last shipped 6 months ago. excelize leads on adoption by 509% (20,920 vs 3,434 stars). excelize is written in Go under BSD-3-Clause; roapi is written in Rust under Apache-2.0. excelize has attracted 9% as many forks as stars, roapi 6%. excelize was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (analytics), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

excelize ★ 21K roapi ★ 3.4K category Business Software

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Side by side

excelize roapi
GitHub stars ★ 21K ★ 3.4K
License BSD-3-Clause Apache-2.0
Written in Go Rust
Last push 2026-09-18 2026-03-25
Forks ⑂ 1.9K ⑂ 209
Self-hosting Yes Yes
Data ownership Your server Your server

pick excelize if

  • You weight community size — 21K stars and counting
  • You want the BSD-3-Clause license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full excelize profile →

pick roapi if

  • You want the roapi feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Rust
  • You evaluated both and roapi fits your workflow better

full roapi profile →

About excelize

Excelize is a pure Go library for reading and writing XLAM, XLSM, XLSX, XLTM and XLTX spreadsheets, built for Go developers who need to generate or parse Microsoft Excel 2007 and later workbooks directly from their own code.

read the full excelize overview →

About roapi

ROAPI ROAPI automatically spins up read only APIs for static datasets without requiring you to write a single line of code. It builds on top of Apache Arrow and Datafusion. The core of its design can be boiled down to the following: Query frontends to translate SQL, FlightSQL, GraphQL and REST API queries into Datafusion plans. Datafusion for query plan execution. Data layer to load datasets from a variety of sources and formats with automatic schema inference. Response encoding layer to serialize intermediate Arrow record batch into various formats requested by client. See below for a high level diagram: Install…

read the full roapi overview →

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Frequently asked questions

Is excelize or roapi more popular?

excelize has 20,920 GitHub stars and roapi has 3,434. excelize has the larger community by that measure.

Are excelize and roapi free?

Both are open source. excelize is licensed under BSD-3-Clause and roapi under Apache-2.0. Neither carries a licence fee.

What is the difference between excelize and roapi?

excelize is written in Go and roapi in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, excelize or roapi?

Choose excelize if you want the larger community (20,920 stars) or its BSD-3-Clause licence terms. Choose roapi if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.