Seaborn
mwaskom
Statistical data visualization in Python
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Results: 419
mwaskom
Statistical data visualization in Python
skrub-data
Machine learning with dataframes
bruin-data
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
fabiocaccamo
:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 sup…
JSQLParser
JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern
pixeltable
Unified multimodal backend for AI data apps
sqlchat
Chat-based SQL Client and Editor for the next decade
ts-safeql
Validate and auto-generate TypeScript types from raw SQL queries in PostgreSQL.
nubank
fklearn: Functional Machine Learning
owid
A platform for creating interactive data visualizations
ebean-orm
bdash-app
Simple SQL Client for lightweight data analysis.
sepandhaghighi
Multi-class confusion matrix library in Python
antvis
🤖 AI-native Visual Analytics framework build for agents.
salsita
Node.js database migration management for PostgreSQL
MultiQC
Aggregate results from bioinformatics analyses across many samples into a single report.
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Presentation generation, editable PPTX, slide decks, speaker notes, and visual storytelling workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.