Description
Super CSV is a fast, programmer-friendly, open-source library for reading and writing CSV files with Java. It is used by a number of large projects and is being downloaded 19000+ times/month from the Maven repository.
Super CSV alternatives and similar libraries
Based on the "CSV" category.
Alternatively, view Super CSV alternatives based on common mentions on social networks and blogs.
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uniVocity-parsers
uniVocity-parsers is a suite of extremely fast and reliable parsers for Java. It provides a consistent interface for handling different file formats, and a solid framework for the development of new parsers. -
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jackson-dataformat-csv
Uber-project for (some) standard Jackson textual format backends: csv, properties, yaml (xml to be added in future) -
Simple Flat Mapper
Fast and Easy mapping from database and csv to POJO. A java micro ORM, lightweight alternative to iBatis and Hibernate. Fast Csv Parser and Csv Mapper
InfluxDB - Purpose built for real-time analytics at any scale.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
super-csv
Dear super-csv community, we are looking for people to help maintain super-csv. See https://github.com/super-csv/super-csv/issues/47
Super CSV is a fast, programmer-friendly, open-source library for reading and writing CSV files with Java. It is used by a number of large projects and is being downloaded 19000+ times/month from the Maven repository.
- Documentation: http://super-csv.github.io/super-csv
- Download Instructions: http://super-csv.github.io/super-csv/downloading.html
- GitHub: https://github.com/super-csv/super-csv
- Free software: Apache License, Version 2.0
- Requirements: Java 1.5
It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping with POJOs, using the powerful Dozer extension.
Its flexible 'Cell Processor' API automates data type conversions (parsing and formatting Dates, Integers, Booleans etc) and enforces constraints (mandatory columns, matching against regular expressions etc) - and it's easy to write your own if required.
Super CSV is actively maintained, and the developers are ready and willing to help out if you get stuck :)
Please check out the documentation for examples and help getting started.
Also do have a look at my personal blog on programming and code quality at http://firstclassthoughts.co.uk/
*Note that all licence references and agreements mentioned in the Super CSV README section above
are relevant to that project's source code only.