Jsonlines Python Packages

orjsonl

A lightweight, high-performance Python library for parsing jsonl files.

py-jsonl

Zero-dependency Python library for JSON Lines — read, write, compress, and stream in one line of code.

undatum

undatum: a command-line tool for data processing. Brings CSV simplicity to NDJSON, BSON, XML and other data files

iterabledata

Iterable Data is a Python library for reading and writing data files row by row in a consistent, iterator-based interface. It provides a unified API for working with various data formats (CSV, JSON, Parquet, XML, etc.) similar to csv.DictReader but supporting many more formats.

jsonl-diff

A lightweight, pure-Python tool for comparing large JSONL/NDJSON datasets without loading them entirely into memory.

sqlitebiter

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

pyjsonlines

A Python library to convert Json to Jsonlines and Jsonlines to Json. This library is helpful to convert ndjson to Json and vice versa too.

db2ixf

db2ixf is a python package with a CLI that simplifies the parsing and processing of IBM Integration eXchange Format (IXF) files.

json-lineage

Tool to allow parsing large JSON files without laoding into memory. Developed in Rust with adapters in other programming langauges for easy adoption

pylines

Simplifying parsing of large jsonline files in NLP Workflows

jldc

Easily read/write JSONLines files that include dataclasses.

jsonltui

A fast TUI application (with optional webui) to visually navigate and inspect JSON and JSONL data. Easily localize parse errors in large JSONL files. Made with LLM fine-tuning workflows in mind.