Matplotlib Competitors

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of Rs strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. R is available as Free Software under the terms of the Free Software Foundation s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS. R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis, graphical facilities for data analysis and display either on-screen or on hardcopy, and a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities. The term environment is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, ...

With over 1.3 billion downloads, Plotly is the most-widely used data app and data visualization for the AI era. Plotly enables enterprises, engineering and scientific labs to collaboratively develop and deploy flexible data apps, dashboards and analytics in a secure, scalable, managed environment in the cloud and on-premises through Dash Enterprise, Plotly Studio and Plotly Cloud. We're also the stewards of the open-source graphing libraries behind our namesake, bringing interactive data visualization to your web browser. With 89,000+ GitHub stars, 42+ million downloads per month of Plotly open-source libraries, and over 1.3 billion total open-source downloads, Plotly Dash is the leading data app framework for AI analytics apps. These Plotly Dash apps provide the needed collaboration, control and custom interfaces for data and AI/ML models written in Python, vastly expanding the notion of what's possible in a traditional dashboard or analytics application. Join us! https://plotly.com/careers/