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Cerberus is a lightweight and extensible data validation library for Python. It provides type checking and other base functionality out of the box, is designed to be non-blocking and extensible for custom validation, and has no dependencies. It is available on PyPI and maintained according to semantic versioning since version 1.2.
ChatGPT Prompts for Data Science is a GitHub repository containing 60 useful prompts for data science tasks. It includes prompts for writing Python code, automatic machine learning, and other data science workflows.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
CKAN is an open-source data management system for creating and operating data hubs and portals. It enables organizations to publish, share, and use data. It powers government data sites such as data.gov, open.canada.ca, and humdata.org.
claude-blog tracks rankings, SERP visibility, and keyword performance across search results.
claude-seo helps analyze backlinks, find link opportunities, and support SEO outreach workflows.
claude-skills crawls websites to audit SEO, accessibility, performance, and technical page issues.
client-side-rendering is an open source tool or library for SEO, metadata, crawling, routing, or website optimization.
codex-seo helps analyze backlinks, find link opportunities, and support SEO outreach workflows.
CogCompNLP is a collection of core natural language processing libraries developed by the Cognitive Computation Group. Its modules include a lemmatizer, part-of-speech tagger, named entity recognizer, tokenizer, transliterator, relation extraction, similarity, temporal normalizer and verb sense tools. The project includes a pipeline for annotating raw text and recommends JDK8.
The College ROI Dataset provides the 30-year net present value of U.S. colleges and majors. It is derived from FREOPP, IPEDS, and BEA data and is released under a CC BY 4.0 license. The dataset is maintained by le-teen.com.
ContentSwift helps plan, write, optimize, or analyze content for SEO and search visibility.
crawlie crawls websites to audit SEO, accessibility, performance, and technical page issues.
d3py is a plotting library for Python based on D3. It builds on d3.js and the pandas DataFrame module to plot data from the command line or simple scripts into a browser window. Its README describes the code as an experiment, notes that it is not actively developed, and points to vincent as an alternative.
Dash is an open-source Python library for building data applications and dashboards without requiring JavaScript expertise. It is maintained by Plotly and hosted on the company's public GitHub repository, where users can access source code and contribute to the project.
ReadStat.jl, listed as Data Read, is an open-source Julia library for reading data files in Stata, SAS, and SPSS formats. The project is hosted on GitHub under the queryverse organization, where users can access source code and contribute to its development.
A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
DataComPy is a package for comparing two DataFrames or tables. It supports Pandas, Polars, Spark (classic and Spark Connect), and Snowflake, and was originally created as a replacement for SAS PROC COMPARE for Pandas DataFrames. It prints stats and lets users adjust required match accuracy.
DataDeps.jl is a Julia package designed to facilitate reproducible data setup for scientific research. It manages data dependencies and includes features such as progress callbacks. The repository is maintained on GitHub.
dataforseo-claude helps research keywords, search demand, related terms, and content opportunities for SEO.
DataFrames.jl is a Julia library that provides in-memory tabular data structures for data manipulation and analysis. It is developed by the JuliaData organization and its source code is hosted on GitHub.
A lightweight framework for data analysis in JavaScript.
Collect, clean and visualize your data in Python.
A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.
