CSV is a common data exchange format that stores tabular data in a plain text file. A CSV file stores the data in a delimited text file that uses commas to separate the values.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
q - Run SQL directly on delimited files and multi-file sqlite databases
🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, SQLSERVER, MONGODB, SQLITE, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, timezones (for countries), and more. #countries #states #cities
A terminal spreadsheet multitool for discovering and arranging data
Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
TensorFlow template application for deep learning
📘 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 support and many utilities.
What's in your data? Extract schema, statistics and entities from datasets
Extract one time password (OTP) secrets from QR codes exported by two-factor authentication (2FA) apps such as "Google Authenticator". The exported QR codes from authentication apps can be captured by camera, read from images, or read from text files. The secrets can be exported to JSON or CSV, or printed as QR codes to console.
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.
📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)