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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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Published directory entries matching your search.
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awesome-seo-tools tracks rankings, SERP visibility, and keyword performance across search results.
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An intuitive GUI for Pandas DataFrames.
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NumPy and Pandas interface to Big Data.
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A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
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BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
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Bowtie is a library for writing dashboards in Python. It wraps the code needed for interactive data exploration and visualization, so users can build functionality without knowing web frameworks or JavaScript. It can be installed with conda or pip, and Docker images are provided.
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An API for plotting in Jupyter (IPython).
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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.
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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.
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Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
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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.
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claude-blog tracks rankings, SERP visibility, and keyword performance across search results.
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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.
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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.
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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.
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Julia package for Regularized Discriminant Analysis.
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A GitHub repository from dair-ai containing explanations of key concepts in machine learning. The README lists papers with dates and descriptions, including the Transformer, Elmo, Marian MT, GPT, BERT and Transformer XL.
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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.
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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.
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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.
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Data-to-paper: AI-driven research from data to human-verifiable research papers.
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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.
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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.