Open Source
SageMath is free and open-source software, which allows users to access, modify, and distribute the software without cost. It fosters collaboration and transparency within the community.
Comprehensive Toolset
It integrates many mathematics software packages into a common interface, providing tools for algebra, calculus, combinatorics, numerical mathematics, number theory, and more.
Python-Based
SageMath uses Python as its primary language, which is widely known for its readability and ease of use. Python's popularity and extensive libraries enhance SageMath's functionality.
Active Community
SageMath has a vibrant and active community contributing to its development, offering extensive support, tutorials, and documentation.
Web Interface
SageMath provides a Jupyter Notebook interface, which allows for interactive computations, visualization, and sharing of results in a web browser.
I 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:
SageMath is a robust and versatile mathematics software that is highly regarded for educational and research purposes. It is particularly valuable for anyone needing a cohesive environment for using multiple mathematical tools.
We have collected here some useful links to help you find out if Sage Math is good.
Check the traffic stats of Sage Math on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Sage Math on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Sage Math's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Sage Math on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Sage Math on Reddit. This can help you find out how popualr the product is and what people think about 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: over 3 years ago
SageMath, a prominent public-domain mathematics software system, has earned a considerable following in the domain of numerical computation and mathematical research. Positioned as a free alternative to proprietary software like MATLAB, SageMath presents itself as a versatile tool for individuals and institutions involved in scientific, engineering, and educational pursuits.
The core appeal of SageMath lies in its foundation on Python, a programming language praised for its readability and accessibility. This choice endows SageMath with a syntactical structure familiar to users of MATLAB, thus easing the learning curve for those transitioning or utilizing both tools. Users value SageMath for its open-source nature, allowing for extensive customization and modular enhancements, positioning it as a cost-efficient solution in a market dominated by pricey proprietary systems. Though discussions occasionally reference its slower computational speed relative to MATLAB's Fortran-optimized libraries, the ability to freely install and modify SageMath often outweighs these performance trade-offs for many users.
Developed by mathematicians and deeply rooted in academia, SageMath is perceived as more than a mere computational tool. It is an intellectual endeavor aimed at enhancing mathematical software availability and capability. The system's inception, helmed by individuals with deep mathematical and computational expertise, underscores its credibility and relevance in handling complex mathematical challenges. Testimonials from professionals with backgrounds in pure mathematics highlight this synergy, noting how the development of SageMath parallels advanced mathematical thought, thus inviting programming professionals to explore foundational mathematical concepts as adjuncts to their computational pursuits.
Moreover, SageMathโs broad platform compatibilityโoffering installations on Windows, macOS, and Linuxโfurther enhances its accessibility and utility among diverse user groups. For educators and students, SageMath stands as a viable entry point into numerical and symbolic computation, equipped with an extensive array of Python libraries that caters to various computational needs. Its popularity is further boosted by the presence of comprehensive tutorials available on the SageMath website, facilitating learning and fostering a user-friendly environment for beginners and experienced users alike.
In summary, SageMath holds a revered place among mathematicians and computational scientists due to its open-source, highly customizable nature, and robust incorporation of Python. While it may lag behind its competitors in raw computing speed, its cost-effectiveness and adaptability largely compensate in scenarios where flexibility and budget constraints are paramount. It serves both as a practical tool for large data set analysis and a catalyst for those wishing to deepen their mathematical understanding through code, maintaining a staunch presence as a formidable contender in the numeric computing environment landscape.
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