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Showing 165 open source projects for "work"
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1
PDFIO.jl
PDF Reader Library for Native Julia.
...Implementations of the PDF writers are not always to the specification or they may even vary significantly from vendor to vendor. Every time, you get a new PDF file there is a possibility that it may not work to the best interpretation of the specification. A script-based language makes it easier for the consumers to quickly modify the code and enhance to their specific needs. -
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StaticTools.jl
Enabling StaticCompiler.jl-based compilation of (some) Julia code
...Integration tests against StaticCompiler.jl and LoopVectorization.jl are currently run with Julia 1.8 and 1.9 on x86-64 Linux and mac; other platforms and versions may or may not work but will depend on StaticCompiler.jl support. While we'll do our best to keep things working, this package should still be considered experimental at present and necessarily involves a lot of juggling of pointers and such (i.e., "unsafe Julia"). If there are errors in any of the llvmcalls (which we have to use instead of simpler ccalls for things to statically compile smoothly), there could be serious bugs or even undefined behavior. -
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arcgis-rest-js
compact, modular JavaScript wrappers for the ArcGIS REST API
Compact, modular JavaScript wrappers for the ArcGIS REST API that run in Node.js and modern browsers. ArcGIS REST JS is supported in Node.js 8.x and above. It requires additional packages to polyfill Fetch and FormData. ArcGIS REST JS is supported in the same browsers as the ArcGIS API for JavaScript. ArcGIS REST JS takes advantage of web standards that are supported in all modern desktop browsers and most mobile browsers. ArcGIS REST JS can be deployed with a variety of build tools. -
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luma.gl
High-performance Toolkit for WebGL-based data visualization
luma.gl is a GPU toolkit for the Web-focused primarily on data visualization use cases. luma.gl aims to provide support for GPU programmers that need to work directly with shaders and want a low abstraction API that remains conceptually close to the WebGPU and WebGL APIs. Unlike other common WebGL APIs, the developer can choose to use the parts of luma.gl that support their use case and leave the others behind. While generic enough to be used for general 3D rendering, luma.gl's mandate is primarily to support GPU needs of data visualization frameworks in the vis.gl suite. -
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Pkg Julia
Package manager for the Julia programming language
...The exact set of packages and versions in an environment is captured in a manifest file which can be checked into a project repository and tracked in version control, significantly improving reproducibility of projects. If you’ve ever tried to run code you haven’t used in a while only to find that you can’t get anything to work because you’ve updated or uninstalled some of the packages your project was using, you’ll understand the motivation for this approach. In Pkg, since each project maintains its own independent set of package versions, you’ll never have this problem again. Moreover, if you check out a project on a new system, you can simply materialize the environment described by its manifest file and immediately be up and running. -
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GMT.jl
Generic Mapping Tools Library Wrapper for Julia
The Generic Mapping Tools, GMT, is an open source collection of tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing PostScript illustrations ranging from simple x–y plots via contour maps to artificially illuminated surfaces and 3D perspective views. This link will take you to an impressive collection of figures made with GMT. The GMT Julia wrapper was designed to work in a way the close as possible to the command line version and yet to provide all the facilities of the Julia language. In this sense, all GMT options are put in a single text string that is passed, plus the data itself when it applies, to the gmt() command. However, we also acknowledge that not every one is comfortable with the GMT syntax. ... -
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Data Formulator
Create rich visualizations with AI
...Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data transformation barriers via LLMs' code generation ability. However, these systems do not work well for iterative visualization authoring, because they often require analysts to provide, in a single turn, a text-only prompt that fully describes the complex visualization task to be performed, which is unrealistic to both users and models in many cases. In this paper, we present Data Formulator 2, an LLM-powered visualization system to address these challenges. -
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nb-clean
Clean Jupyter notebooks of outputs, metadata, and empty cells
...It can determine if a notebook is clean or not, which can be used as a check in your continuous integration pipelines. nb-clean can also be used as a pre-commit hook. You may prefer this to the Git filter if your project already uses the pre-commit framework. Note that the Git filter and pre-commit hook work differently, with different effects on your working directory. The pre-commit hook operates on the notebook on disk, cleaning the copy in your working directory. The Git filter cleans notebooks as they are added to the index, leaving the copy in your working directory dirty. -
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CUDA.jl
CUDA programming in Julia
High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher. If you are using an older version of Julia, you need to use a previous version of CUDA.jl. This will... -
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10
Jitsu
Jitsu is an open-source Segment alternative
...Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time or send it in micro-batches (up to once a minute). Apply any transformation with Jitsu. Just write JavaScript code right in the UI to do anything with incoming data. ... -
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ClearML
Streamline your ML workflow
ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions for thousands of data science teams all over the world. It is designed as an end-to-end MLOps suite allowing you to focus on developing your ML code & automation, while ClearML ensures your work is reproducible and scalable. The ClearML Python Package for integrating ClearML into your existing scripts by adding just two lines of code, and optionally extending your experiments and other workflows with ClearML powerful and versatile set of classes and methods. The ClearML Server storing experiment, model, and workflow data, and supports the Web UI experiment manager, and ML-Ops automation for reproducibility and tuning. ... -
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leafmap
A Python package for interactive mapping and geospatial analysis
...Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. ... -
13
brms
brms R package for Bayesian generalized multivariate models using Stan
brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison,... -
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airda
airda(Air Data Agent
airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes. -
15
PySyft
Data science on data without acquiring a copy
...It also means that you cannot compute using machines without first obtaining control over those machines. This is very limiting to human collaboration and systematically drives the centralization of data, because you cannot work with a bunch of data without first putting it all in one (central) place. The Syft ecosystem seeks to change this system, allowing you to write software which can compute over information you do not own on machines you do not have (total) control over. This not only includes servers in the cloud, but also personal desktops, laptops, mobile phones, websites, and edge devices. ... -
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DIY Split-Flap Display
DIY split-flap display
This is a work in progress split-flap display. Each module can flip between 40 unique characters: letters, numbers, and a few symbols. Multiple modules fit perfectly alongside each other to build bigger displays. The primary design goal was to make something that's possible to fabricate at home in small or single quantities and can be customized and built by an intermediate hobbyist at a reasonable price. -
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Avogadro
An intuitive molecular editor and visualization tool
Avogadro is an advanced molecular editor designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science and related areas. It offers a flexible rendering framework and a powerful plugin architecture. -
18
MathGL
A library for scientific data visualization
A free cross-platform library of fast C++ routines for the plotting of up to 3-ranged data. It can export to bitmap and vector EPS/SVG files. There are window interfaces (GLUT/FLTK/Qt) and console tools. MathGL can be used from C/Fortran/Python/Octav/Lua -
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Software and codes created in "Laboratorio de Química Computacional" of "Facultad de Ciencias y Tecnología" of "Universidad de Carabobo"
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Msc-generator
Draws signalling charts, block diagrams and graphs from text input.
NOTE! We have moved to https://gitlab.com/msc-generator/msc-generator All development happens there. Also, download new releases & submit issues there. A tool to draw various charts from textual descriptions. Currently, three types of charts are supported: Message Sequence Charts, generic Graphs, and Block Diagrams, with more to be added in the future. There is a command-line version for Linux and Mac (replacing mscgen), which now sports a GUI, as well. Msc-generator allows fine... -
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Catbird Linux
Linux for content creation, web scraping, coding, and data analysis.
Catbird Linux is a USB pluggable Live Linux operating system built for media creation, web scraping, and software coding. It is the daily driver you want for retrieving data, making videos or podcasts, and making software tools to automate the repetitive tasks. It is ready for work in Python, Lua, and Go languages, with numerous packages for web scraping or downloading data via API calls. Using Catbird Linux, it is possible to accomplish in depth stock market analysis, track weather trends, follow social media sentiment, or do other tasks in data science. The system is programmer friendly, ready for creating and running the tools you use to measure and understand your world. ... -
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PlateEditor
PlateEditor, a free web application to work with multi-well plates
PlateEditor is a free web application to work with multi-well plates, from creation of layouts to data visualization and aggregation. It is primarily designed as a tool to help scientists working in the field of biology to simplify and fasten the process of data analysis. It is fully client-side: files are never transferred to the server, ensuring complete security and privacy of research data. -
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seaborn
Statistical data visualization in Python
...Its dataset-oriented, declarative API lets you focus on what the different elements of your plots mean, rather than on the details of how to draw them. Behind the scenes, seaborn uses matplotlib to draw its plots. For interactive work, it’s recommended to use a Jupyter/IPython interface in matplotlib mode, or else you’ll have to call matplotlib.pyplot.show() when you want to see the plot. -
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...Software is based on Qt and Qwt libraries. Adlink PCI-9820 or other Adlink wd-dask based DAQ is needed to run binaries. HpGe Preamplifier gain 500mV/MeV is needed to correct work.
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AvaSattva
Search replace files or pipe
...Not-IN-latter: nin.exe/nin-Win32.exe/nin.cygwin/nin.gcc**/nin-i386.gcc** Get Exclusive/Mutual Line-Set or Key-Set; Remove Line-Set or Key-Set matched in latter file/pipe; Get Unique/Mutual/Distribution/Stats/* Files/Pipe Line-Set or Key-Set. Match/Search/Replace files/pipe text with plain/Regex syntax. And for ETL alike work like Load and filter files -> Extract -> Transform output. For replacing files, you can preview and backup, in multiple directories and files or pipe, with plain text matching or using general Regex as C++, C#, Java, Scala; So msr is a good tool to learn and test Regex since it has different colors for matched groups captured by the Regex pattern.
