pandera validates dataframes with schemas, column checks, statistical constraints, custom rules, and support for multiple data backends.
Read more
Category: Scientific
Pydantic – data validation using Python type hints
Pydantic validates structured data using Python type hints, with custom validators, strict typing, serialization, and JSON Schema generation.
Read more
Cerberus – lightweight and extensible data validation library
Cerberus validates dictionaries with declarative schemas, type checks, dependencies, normalization rules, and extensible custom validators.
Read more
Valideer – lightweight data validation and adaptation library
Valideer checks and transforms structured values with declarative schemas, built-in validators, custom rules, and detailed errors.
Read more
Colander – serialization, deserialization and validation library
Colander validates and converts structured data using schemas for mappings, sequences, strings, numbers, dates, and custom types.
Read more
Voluptuous – Python data validation library
Voluptuous validates nested data structures using composable schemas, callable validators, required fields, transformations, and error reporting.
Read more
Schematics – Python library to combine types into structures, validate them, and transform the shapes of data
Schematics is a Python library to combine types into structures, validate, and transform the shapes of your data based on simple descriptions.
Read more
schema – library for validating Python data structures
schema checks Python data structures using readable validation rules, nested schemas, optional fields, custom checks, and data conversion.
Read more
jsonschema – implementation of JSON Schema for Python
jsonschema validates JSON-compatible data against schemas, supports multiple JSON Schema drafts, and provides detailed error reporting.
Read more
Polynote – different kind of notebook
Polynote is an experimental polyglot notebook environment. It supports mixing multiple languages in one notebook.
Read more
Spark Notebook – Interactive and Reactive Data Science using Scala and Spark
The Spark Notebook is aimed at enterprise environments, providing data scientists and data engineers with an interactive web-based editor.
Read more
BeakerX – Successor to Beaker Notebook
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment.
Read more
Apache Zeppelin – collaborative data analytics notebook
Apache Zeppelin is a collaborative notebook for SQL, Spark, Python and other interpreters, with charts, forms, scheduling and sharing.
Read more
nteract – Notebooks on your Desktop
nteract is a desktop-based interactive computing application that is focused on accessibility and composability.
Read more
Jupyter Notebook – Data Science Notebook
The Jupyter Notebook is a server-client web application to create/share documents containing live code, equations, and visualizations.
Read more
JupyterLab – Extensible Notebook and Development Environment
JupyterLab is a flexible notebook and code environment with interactive consoles, debugging, collaboration, terminals and extensions.
Read more
Apollo – genome annotation editor
Apollo is a collaborative, real-time, genome annotation editor. The stack is a Java web application / database backend.
Read more
Artemis – genome viewer and annotation tool
Artemis is a free genome viewer and annotation tool that allows visualization of sequence features and the results of analyses.
Read more
JBrowse – fast, scalable genome browser
JBrowse is a fast, scalable genome browser built completely with JavaScript and HTML5. It can run on your desktop, or embedded in a website.
Read more
Integrated Genome Browser – visualization for genome-scale data
Integrated Genome Browser (IGB) is a fast, free, and highly customizable genome browser you can use to view and explore big genomic datasets.
Read more