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This repository was archived by the owner on May 26, 2022. It is now read-only.
This project has been archived and is no longer maintained. No bug fix and no additional features will be added.
You won't be able to submit new issues or pull requests, and no additional features will be added
You can still use Spout as is in your projects though :)
Thanks to everyone who contributed to this project, from a typo fix to the new cool feature.
It was great to see the involvement of this community!
About
Spout is a PHP library to read and write spreadsheet files (CSV, XLSX and ODS), in a fast and scalable way.
Unlike other file readers or writers, it is capable of processing very large files, while keeping the memory usage really low (less than 3MB).
Version 3 introduced new functionality but also some breaking changes. If you want to upgrade your Spout codebase from version 2 please consult the Upgrade guide.
Running tests
The master branch includes unit, functional and performance tests.
If you just want to check that everything is working as expected, executing the unit and functional tests is enough.
phpunit - runs unit and functional tests
phpunit --group perf-tests - only runs the performance tests
For information, the performance tests take about 10 minutes to run (processing 1 million rows files is not a quick thing).
Support
Spout is no longer actively supported. You can still ask questions, or discuss about it in the chat room:
Copyright and License
Copyright 2022 Box, Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
About
Read and write spreadsheet files (CSV, XLSX and ODS), in a fast and scalable way