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Showing 172 open source projects for "so"
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ggrepel
epel overlapping text labels away from each other in your ggplot2
...When placing text labels on a plot (e.g. labeling points), the labels can often overlap; ggrepel ensures labels don’t overlap (or overlap less) by repelling labels / pushing them away, adding connecting lines or nudges, etc. It improves the readability of plots, especially when many labels are present. Support for point and segment geoms (so labels can be connected by lines when moved). Supports both plotting of labels inside or outside plot area, with trimming/clipping etc. -
2
plotly
An interactive graphing library for R
...There are two main ways to creating a plotly object: either by transforming a ggplot2 object (via ggplotly()) into a plotly object or by directly initializing a plotly object with plot_ly()/plot_geo()/plot_mapbox(). Both approaches have somewhat complementary strengths and weaknesses, so it can pay off to learn both approaches. Moreover, both approaches are an implementation of the Grammar of Graphics and both are powered by the JavaScript graphing library plotly.js, so many of the same concepts and tools that you learn for one interface can be reused in the other. Any graph made with the plotly R package is powered by the JavaScript library plotly.js. ... -
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PhysicalConstants.jl
Collection of fundamental physical constants with uncertainties
...They are defined as instances of the new Constant type, which is a subtype of AbstractQuantity (from Unitful.jl package) and can also be turned into Measurement objects (from Measurements.jl package) at request. Constants are grouped into different submodules so that the user can choose different datasets as needed. Currently, 2014 and 2018 editions of CODATA recommended values of the fundamental physical constants are provided. -
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PGFPlotsX.jl
Plots in Julia using the PGFPlots LaTeX package
PGFPlotsX is a Julia package to generate publication quality figures using the LaTeX library PGFPlots. It is similar in spirit to the package PGFPlots.jl but it tries to have a very close mapping to the PGFPlots API as well as minimize the number of dependencies. The fact that the syntax is similar to the TeX version means that examples from Stack Overflow and the PGFPlots manual can easily be incorporated in the Julia code. -
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JET.jl
An experimental code analyzer for Julia
JET employs Julia's type inference system to detect potential bugs and type instabilities. JET is tightly coupled to the Julia compiler, and so each JET release supports a limited range of Julia versions. See the Project.toml file for the range of supported Julia versions. The Julia package manager should install a version of JET compatible with the Julia version you are running. If you want to use JET on unreleased version of Julia where compatibility with JET is yet unknown, clone this git repository and dev it, such that Julia compatibility is ignored. -
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oneAPI.jl
Julia support for the oneAPI programming toolkit.
...The package is verified to work with the (currently) only implementation of this interface that is part of the Intel Compute Runtime, only available on Linux. This package is still under significant development, so expect bugs and missing features. -
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Backstage
Backstage is an open platform for building developer portals
...By centralizing services and standardizing your tooling, Backstage streamlines your development environment from end to end. Instead of restricting autonomy, standardization frees your engineers from infrastructure complexity. So you can return to building and scaling, quickly and safely. Every team can see all the services they own and related resources (deployments, data pipelines, pull request status, etc.) -
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Dash
Build beautiful web-based analytic apps, no JavaScript required
...Dash apps are very lightweight, requiring only a limited number of lines of Python or R code; and every aesthetic element can be customized and rendered in the web. It’s also not just for dashboards. You have full control over the look and feel of your apps, so you can style them to look any way you want. -
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CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse
CounterfactualExplanations.jl is a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box algorithms. Both CE and AR are related tools for explainable artificial intelligence (XAI). While the package is written purely in Julia, it can be used to explain machine learning algorithms developed and trained in other popular programming languages like Python and R. See below for a short introduction and other resources or dive straight into the docs. -
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IntervalRootFinding.jl
Find all roots of a function in a guaranteed way with Julia
This package provides guaranteed methods for finding roots of functions, i.e. solutions to the equation f(x) == 0 for a function f. To do so, it uses methods from interval analysis, using interval arithmetic from the IntervalArithmetic.jl package by the same authors. The basic function is roots. A standard Julia function and an interval is provided and the roots function return a list of intervals containing all roots of the function located in the starting interval. -
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Panda-Helper
Panda-Helper: Data profiling utility for Pandas DataFrames and Series
Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis. -
12
G2
Interactive data-driven visualization grammar for statistical charts
...With G2, you can describe the visual appearance and interactive behavior of visualization just by one statement, and generate web-based views using Canvas or SVG. We have summarized a series of story design templates from lots of real data visualization cases so that users can use them directly. Any chart can be drawn flexibly based on graphical grammar to meet your unlimited creativity. A large number of product practices, providing a graphics engine, complete graphical grammar, and professional design specifications.Powerful interactive grammar to help visual analysis and make charts vivid. -
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InteractiveViz.jl
Interactive visualization tools for Julia
Julia already has a rich set of plotting tools in the form of the Plots and Makie ecosystems, and various backends for these. So why another plotting package? InteractiveViz is not a replacement for Plots or Makie, but rather a graphics pipeline system developed on top of Makie. It has a few objectives. To provide a simple API to visualize large or possibly infinite datasets (tens of millions of data points) easily. To enable interactivity, and be responsive even with large amounts of data. ... -
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LoggingExtras.jl
Composable Loggers for the Julia Logging StdLib
LoggingExtras allows routing logged information to different places when constructing complicated "log plumbing" systems. Built upon the concept of simple parts composed together, subtyping AbstractLogger provides a powerful and flexible definition for your logging system without a need to define any custom loggers. When we talk about composability, the composition of any set of Loggers is itself a Logger, and LoggingExtras is a composable logging system. -
15
Makie
Interactive data visualizations and plotting in Julia
...Choose one or more backend packages: GLMakie (interactive OpenGL in native OS windows), WGLMakie (interactive WebGL in browsers, IDEs, notebooks), CairoMakie (static 2D vector graphics and images), and RPRMakie (raytracing). Each backend re-exports all of Makie.jl so you don't have to install or load it explicitly. -
16
React Chart.js
React components for Chart.js, the most popular charting library
...With v4, this library introduces a number of breaking changes. In order to improve performance, offer new features, and improve maintainability, it was necessary to break backwards compatibility, but we aimed to do so only when worth the benefit. You will find that any event which causes the chart to re-render, such as hover tooltips, etc., will cause the first dataset to be copied over to other datasets, causing your lines and bars to merge together. This is because to track changes in the dataset series, the library needs a key to be specified. ... -
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Charts.css
Open source CSS framework for data visualization
...The key feature is the ability to customize everything using basic CSS. Frontend developers can target any HTML element and customize it. This philosophical guideline is what makes the framework so flexible, easy, and fun to use. -
18
Ridgepole
Ridgepole is a tool to manage DB schema. It defines DB schema
Ridgepole is a database schema management tool that treats your schema as code by expressing it in a Ruby DSL and applying diffs to keep databases in sync. You describe the desired state in a “Schemafile” (tables, columns, indexes, constraints), and Ridgepole compares it with the live database to generate only the necessary changes. This diff-and-apply approach makes schema changes repeatable and reviewable, avoiding hand-written migrations for routine structural edits. It supports multiple... -
19
Qualitis
Qualitis is a one-stop data quality management platform
...Based on Spring Boot, Qualitis submits quality model task to Linkis platform. It provides functions such as data quality model construction, data quality model execution, data quality verification, reports of data quality generation and so on. At the same time, Qualitis provides enterprise-level features of financial-level resource isolation, management and access control. It is also guaranteed working well under high-concurrency, high-performance and high-availability scenarios. -
20
Timesketch
Collaborative forensic timeline analysis
...Powerful search, aggregations, and saved views help you pivot quickly, highlight anomalies, and preserve investigative steps for later review. The system supports tagging, sketch notes, and story building so teams can annotate findings and share context without losing the raw data trail. Integrations with popular DFIR pipelines make ingestion repeatable, while role-based access and audit logs support enterprise workflows. By combining scale, collaboration, and reproducibility, Timesketch moves incident response beyond ad-hoc spreadsheets to a durable, team-oriented investigation record. -
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Gretel Synthetics
Synthetic data generators for structured and unstructured text
...Generate unlimited data in minutes with synthetic data delivered as-a-service. Synthesize data that are as good or better than your original dataset, and maintain relationships and statistical insights. Customize privacy settings so that data is always safe while remaining useful for downstream workflows. Ensure data accuracy and privacy confidently with expert-grade reports. Need to synthesize one or multiple data types? We have you covered. Even take advantage or multimodal data generation. Synthesize and transform multiple tables or entire relational databases. ... -
22
tsfresh
Automatic extraction of relevant features from time series
tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python. ... -
23
Checkmate
Checkmate is an open-source, self-hosted tool
...The system is designed to scale, having been stress-tested with more than a thousand active monitors without major performance issues. Checkmate also includes incident tracking and notification capabilities so teams can quickly respond to outages or anomalies. Overall, the platform serves as a comprehensive, developer-friendly alternative to commercial uptime and infrastructure monitoring tools. -
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beautiful-mermaid
Render Mermaid diagrams as beautiful SVGs or ASCII art
beautiful-mermaid is a styling and rendering toolkit built to produce visually enhanced diagrams from Mermaid syntax, aiming to bridge the gap between simple technical diagrams and rich, presentation-ready visualizations, all while preserving the lightweight text-to-diagram workflow that Mermaid offers. Instead of plain, utilitarian shapes and lines, Beautiful Mermaid applies themes, typography enhancements, color palettes, and layout optimizations so diagrams look polished and professional without requiring manual graphic design. This makes it ideal for documentation, technical blogs, slide decks, and design discussions where clear, attractive visuals help convey complex ideas more effectively. The project includes presets for different aesthetic styles, customization options for branding or themes, and rendering pipelines that can export to multiple formats such as SVG, PNG, and PDF. -
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timelinize
Store your data from all your accounts and devices
...The project emphasizes simplicity and flexibility by letting contributors focus on the data — defining dates, labels, descriptions, links, and media — while timelinize handles rendering, layout, and interactivity in a polished browser experience. It supports multiple visualization styles, such as chronological horizontal views and compact vertical modes, so you can tailor output to fit different screen sizes and content density. With automatic linking between events and optional categories or tags, timelines become easier to navigate and filter for large datasets, making this tool practical for history projects, product roadmaps, research archives, or personal journals.