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https://github.com/willfarrell/csv-benchmarks
Benchmarks of popular CSV libraries
https://github.com/willfarrell/csv-benchmarks
csv formatter json parser stringify
Last synced: 3 months ago
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Benchmarks of popular CSV libraries
- Host: GitHub
- URL: https://github.com/willfarrell/csv-benchmarks
- Owner: willfarrell
- License: mit
- Created: 2022-07-24T21:06:49.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-01T00:49:16.000Z (3 months ago)
- Last Synced: 2024-11-01T01:26:28.746Z (3 months ago)
- Topics: csv, formatter, json, parser, stringify
- Language: JavaScript
- Homepage:
- Size: 8.5 MB
- Stars: 4
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# JavaScript CSV Benchmarks
Benchmarks of popular CSV parsers and formatters:
| Package | Version | Published | Parse | Format
|---------|---------|-----------|-------|--------
| [csv-parse](https://www.npmjs.com/package/csv-parse) | 5.5.6 | 6 months ago | Yes |
| [csv-parser](https://www.npmjs.com/package/csv-parser) | 3.0.0 | 4 years ago | Yes |
| [csv-rex](https://www.npmjs.com/package/csv-rex) | 0.7.0 | 1 year ago | Yes | Yes
| [csv-streamify](https://www.npmjs.com/package/csv-streamify) | 4.0.0 | 7 years ago | Yes |
| [csv-stringify](https://www.npmjs.com/package/csv-stringify) | 6.5.1 | 3 months ago | | Yes
| [csvtojson](https://www.npmjs.com/package/csvtojson) | 2.0.10 | 5 years ago | Yes |
| [fast-csv](https://www.npmjs.com/package/fast-csv) | 5.0.2 | 9 days ago | Yes | Yes
| [papaparse](https://www.npmjs.com/package/papaparse) | 5.4.1 | 2 years ago | Yes |Your preferred CSV package missing? PRs welcome. Excluded packages in `/docs/EXCLUDED.md`.
## Tests
The tests run on generated data files with 10 - 100 columns and 10K - 1M rows, both quoted and unquoted. The stream implementation for each library were used to keep comparison consistent, but can be slower compared to self chunking in certain use cases.| columns x rows | cycles
|----------------|--------
| 10 x 10,000 | 20
| 100 x 10,000 | 10
| 10 x 100,000 | 10
| 100 x 100,000 | 5
| 10 x 1,000,000 | 5## Results
Benchmarked on GitHub Actions. Only the fastest 5 will be visualized.### Parse
![Quoted CSV Parser Benchmarks](https://github.com/willfarrell/csv-benchmarks/raw/main/results/parse_quotes%3Dtrue.png)| Package | 10x10K | 100x10K | 10x100K | 100x100K | 10x1000K
|---------|---|---|---|---|---
| **csv-rex** | 27ms | 176ms | 215ms | 1,780ms | 2,153ms
| **papaparse** | 41ms | 207ms | 402ms | 2,044ms | 4,011ms
| **csv-parser** | 38ms | 345ms | 378ms | 3,683ms | 4,039ms
| **csvtojson** | 57ms | 450ms | 561ms | 4,538ms | 5,588ms
| **csv-parse** | 77ms | 672ms | 749ms | 6,787ms | 7,891ms
| **csv-streamify** | 73ms | 699ms | 806ms | 7,792ms | 8,897ms
| **fast-csv** | 105ms | 916ms | 1,071ms | 9,503ms | 11,060ms![Non-Quoted CSV Parser Benchmarks](https://github.com/willfarrell/csv-benchmarks/raw/main/results/parse_quotes%3Dfalse.png)
| Package | 10x10K | 100x10K | 10x100K | 100x100K | 10x1000K
|---------|---|---|---|---|---
| **csv-rex** | 9ms | 45ms | 80ms | 450ms | 789ms
| **csvtojson** | 32ms | 244ms | 324ms | 2,486ms | 3,298ms
| **csv-parser** | 32ms | 295ms | 327ms | 3,140ms | 3,521ms
| **papaparse** | 128ms | 59ms | 1,154ms | 551ms | 10,331ms
| **csv-parse** | 57ms | 508ms | 619ms | 5,521ms | 6,386ms
| **csv-streamify** | 67ms | 674ms | 780ms | 7,655ms | 8,811ms
| **fast-csv** | 86ms | 766ms | 893ms | 7,971ms | 9,289ms### Format
![Non-Quoted CSV Formatter Benchmarks](https://github.com/willfarrell/csv-benchmarks/raw/main/results/format_quotes%3Dfalse.png)
| Package | 10x10K | 100x10K | 10x100K | 100x100K | 10x1000K
|---------|---|---|---|---|---
| **csv-rex** | 22ms | 108ms | 224ms | 1,102ms | 2,284ms
| **csv-stringify** | 26ms | 113ms | 256ms | 1,120ms | 2,558ms
| **fast-csv** | 30ms | 130ms | 293ms | 1,269ms | 2,929ms## Thanks
- leanylabs who inspired the making of this repo with their article [CSV Parsers Comparison](https://leanylabs.com/blog/js-csv-parsers-benchmarks/).
- [quickchart.io](https://quickchart.io) for the automation of the chart creation.
- GitHub for providing free use of Actions for running the benchmarks.