flatten-tool
flatterer
| flatten-tool | flatterer | |
|---|---|---|
| 2 | 14 | |
| 101 | 166 | |
| 0.0% | - | |
| 5.4 | 6.6 | |
| about 2 months ago | 3 months ago | |
| Python | Rust | |
| MIT License | MIT License |
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flatten-tool
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Select, put and delete data from JSON, TOML, YAML, XML and CSV files
* https://flatten-tool.readthedocs.io/en/latest/
It's maintained by Open Data Services Coop, where we use it as a component in several of our web & data pipeline tools for working with data that is published in a Data Standard.
- Show HN: Transform a CSV into a JSON and vice versa
flatterer
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How to convert a massive JSON into CSV
This tool was built for this purpose https://github.com/kindly/flatterer
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Show HN: Flatterer Lite, A Rust WASM JSON to tabular converter, for nested data
I have been working on this Rust based JSON flattener (https://github.com/kindly/flatterer) to XLSX/CSV/SQLITE/PARQUET/POSTGRES for about 2 years. I finally made a WASM based one for CSV/XLSX which is really easy to play with. You can use it via a url (if the data has CORS headers), for example https://lite.flatterer.dev?url=https%3A%2F%2Fdummyjson.com%2....
The main difference with other converters/flatteners is that for one-to-many relationships (lists of objects in JSON) it produces a multi table output with keys to help join the tables together. Essentially produces a relational schema, along with some type information, of the JSON provided. For simple non-nested JSON it works too, but is a bit overkill.
Its all opensource and free, and I think that it will become more and more useful as JSON/Graphql APIs proliferate.
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Create table from JSON
flatterer is the easiest option and will do this for you. It will also load the data into a sqlite or postgres database for you.
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Robust Rust Library for Converting JSON Objects into CSV Rows
I have also written something similar but higher level flatterer which is python but is a binding to libflatterer. Its main difference is when there is a list of objects it treats it a one to many and creates a separate CSV file.
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Flatten a massive json file
flatterer (github) is designed for this.
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Simple GUI tool to query JSON or CSV databases [I have no coding skills]
This looks great and using duckdb as a backend us a great choice. For JSON I suggest using flatterer https://flatterer.opendata.coop/ . Which will convert most JSON into CSV/Parquet with very little technical knowledge.
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Rust for Data Engineering
My project flatterer (used for flattening JSON into tables) also is mainly a python cli/libarary but is written in Rust for speed/memory efficiency and better concurrency.
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JSON Processing
I have been working on a similar tool for the last while called flatterer (github). It has a similar aim and works with most kinds of JSON well (but not very well with top level objects like yours).
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Stream processing - Nested JSON to Parquet
You could try Option B with flatterer https://flatterer.opendata.coop/ which purpose is to convert nested JSON into other formats without a schema upfront including parquet.
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Turning JSON arrays into tables - Data flattening
flatterer docs (github)
What are some alternatives?
ndjson.github.io - Info Website for NDJSON
json2csv - command line tool to convert json to csv
jsonmatic - ⚗️ Transform a CSV (spreadsheet) into a JSON.
libflatterer - Lib flatterer: A lib to make JSON flatterer
yj - CLI - Convert between YAML, TOML, JSON, and HCL. Preserves map order.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
ndjson - Streaming line delimited json parser + serializer
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
json-roller - Command line tool for converting json data structures to tables
brackit - Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.
adventofcode - https://adventofcode.com/