Sage Math VS Cachely.dev
Compare Sage Math VS Cachely.dev and see what are their differences
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Sage Math
MATLAB
GNU Octave
Wolfram Mathematica
Scilab
Maxima
Maple
Julia
Cachely.dev
nxCloud
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
Sage Math Cachely.devI started SageMath in 2004 to provide a FOSS alternative to expensive commercial mathematics software. Sage is Python-based and has had around 600 volunteer contributors. The project has also received millions of dollars in support from grants around the world, and has a very active developer community.
This site is about Software as a Service, and there are at least two easy ways to use Sage online as a service:
Based on our record, Sage Math seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I received a Ph.D. In pure math (number theory) from Berkeley, and then worked as an academic mathematician for 20 years, so wrote a few dozen research papers and some books. My ability to write software for doing mathematics was obviously better as a result of studying mathematics, e.g., I started SageMath (https://sagemath.org) and wrote a big chunk of it. Now I mostly do full stack web development (I... - Source: Hacker News / about 3 years ago
You could also try sagemath (sagemath.org), available for window, mac & linux for free. Source: over 3 years ago
SageMath gets my vote. I use it to compute simplicial objects that turn out to be infinitely categories. https://sagemath.org SageMath includes most of the python libraries already mentioned, and much more. Source: over 3 years ago
I am a fan of this site (and of this site's tutorial in particular). I would also recommend this site. The SageMath site has some good tutorials too. Source: almost 4 years ago
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
nxCloud - nxCloud is a commercial OwnCloud provider
GNU Octave - GNU Octave is a programming language for scientific computing.
Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processingโand gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.
Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!
Maxima - Maxima is a fairly complete computer algebra system written in Lisp with an emphasis on symbolic computation.