SageMath
by SageMath · Python-based open-source mathematics system built on existing packages
BenchRank score
Screenshots of SageMath
Homepage
Overview
SageMath is a free open-source mathematics software system licensed under the GPL. It builds on existing open-source packages including NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT and R, and exposes their combined functions through a common Python-based language or directly via interfaces and wrappers. It can be installed locally or used online through CoCalc or SageMathCell.
- Best for
- Students and researchers wanting a free alternative to Magma, Maple, Mathematica or Matlab
- Pricing
- No prices are shown; the software is free and GPL-licensed, funded by sponsorship and one-time or recurring donations handled through Open Source Collective.
- Runs on
- LinuxSelf-hosted
Strengths and trade-offs
Strengths
- Free and GPL-licensed, with source tarballs published
- Bundles NumPy, SciPy, SymPy, Maxima, GAP, FLINT and R
- One Python-based language across the bundled packages
- Runs online via CoCalc or SageMathCell without installing
Trade-offs
- Community support only: Zulip, forums and Q&A; no paid support shown
- Funded by donations and sponsorship, not by a commercial vendor
- Online use depends on third-party hosts, CoCalc and SageMathCell
How SageMath markets itself
A structured read of the promise, proof and page design on SageMath’s captured homepage.
Homepage capture
“SageMath is a free open-source mathematics software system licensed under the GPL.”
- Angle: Open source / ownership
- Hero: Typography only
Pricing
Published plans and prices from SageMath’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The SageMath pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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