Schema Inference Python Packages

polars-genson

A Polars plugin for JSON schema inference from string columns using genson-rs.

graflo

Describe a labeled property graph once in a YAML manifest; GraFlo builds the schema and ingests records from CSV, JSON, Parquet, SQL, RDF/SPARQL, REST APIs or Kafka into ArangoDB, Neo4j, TigerGraph, FalkorDB, Memgraph, NebulaGraph, PostgreSQL or a directory on disk.

datannurpy

Python toolkit to scan files and databases into ready-to-use datannur catalogs

schema-automator

Automated assistance for the schema development lifecycle

dataweave-lib

Declarative ETL framework: YAML-defined data pipelines with built-in operators, schema inference, data quality checks. PyPI package.

jsonxray

Stream JSONL/NDJSON files and profile real types, malformed lines, and size outliers.

csv-schema-inference

A tool to automatically infer columns data types in .csv files

fathom-json

Fathom first. Then parse. See what is in a JSON document before you parse it — one vocabulary, in R and in Python, over one Rust core.

pydanticforge

Infer robust Pydantic v2 models from messy, evolving JSON streams

colsemantics

Infer semantic roles and domains for tabular columns from names, values, and table context.

agentic-data

Universal data comprehension for AI agents — infer schemas, track lineage, detect anomalies, transform any format. 122 MCP tools, 16 parsers. Rust core + CLI + MCP server.