Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
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Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Statistical data visualization in Python
Open Machine Learning Course
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
cuDF - GPU DataFrame Library
- gpu
- rapids
- cudf
- arrow
A terminal spreadsheet multitool for discovering and arranging data
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
the portable Python dataframe library
Instant Kubernetes-Native Application Observability
- golang
- kubernetes
- ebpf
- vega
Automatically visualize your pandas dataframe via a single print! 📊 💡
- visualization-tools
- jupyter
- python
- data-science
Python tools for geographic data
- geoparquet
- geospatial
- pandas
- python
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
- mimesis
- fake
- data
- generator
A light-weight, flexible, and expressive statistical data testing library
- pandas
- validation
- schema
- dataframes
Performance analysis of predictive (alpha) stock factors
N-D labeled arrays and datasets in Python
Missing data visualization module for Python.
- missing-data
- data-visualization
- data-analysis
- pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
- machine-learning
- ml
- model-validation
- data-validation
A Python module for creating Excel XLSX files.
- python
- xlsx-files
- libxlsxwriter
- pandas
Koalas: pandas API on Apache Spark
NumPy and Pandas interface to Big Data
Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
High performance datastore for time series and tick data