Julia Libraries

7 Components & Libraries

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Julia Libraries

Data Apps & Dashboards for Python. No JavaScript Required.

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…

App to easily query, script, and visualize data from every database, file, and API.

DataStation is an open-source data IDE for developers. It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all…

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations…

CoCalc: Collaborative Calculation in the Cloud

The copyright of CoCalc is owned by SageMath, Inc., and the source code here is released under the GNU Affero General Public License version 3+ subject to the "Commons Clause" License Condition v1.0.…

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Note that when running the tutorials, the packages are not automatically added. Thus you will need to add the packages manually or use the internal Project/Manifest tomls to instantiate the correct p…

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: The SciML Bench suite is made to be a comprehens…

Apply for a job at Olist's Data Team: https://olist.gupy.io/

Esta é a página sobre o teste prático para os candidatos ao processo seletivo de cientistas, analistas e engenheiros de dados para o time de Business Science & Analytics do olist. O olist é a mai…