ParquetViewer
DataProfiler
| ParquetViewer | DataProfiler | |
|---|---|---|
| 1 | 61 | |
| 646 | 1,363 | |
| - | 1.0% | |
| 8.5 | 6.3 | |
| 6 days ago | 4 days ago | |
| C# | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ParquetViewer
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Fast CSV Processing with SIMD
Also, you will sleep better at night knowing that your column dtypes are safe from harm, exactly as you stored them. Moving from CSV (or god forbid, .xlsx) has been such a quality of life improvement.
One thing I miss though is how easy it is to inspect .csv and .xlsx. I kinda solved it using [1], but it only works on Windows. More portable recommendations welcome!
[1] https://github.com/mukunku/ParquetViewer
DataProfiler
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LongRoPE: Extending LLM Context Window Beyond 2M Tokens
It's been possible to skip tokenization for a long time, my team and I did it here - https://github.com/capitalone/DataProfiler
For what it's worth, we actually were working with LSTMs with nearly a billion params back in 2016-2017 area. Transformers made it far more effective to train and execute, but ultimately LSTMs are able to achieve similar results, though slow & require more training data.
- Data Profiler – What's in your data?
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Data Profiler 0.9.0 -- offering a massive improvement to memory usage during profiling of large datasets
Great call out -- would you be willing to write up an issue for that on the repo? Thank you! https://github.com/capitalone/DataProfiler/issues/new/choose
- FLiPN-FLaNK Stack Weekly for 20 March 2023
- Release 0.8.3 · capitalone/DataProfiler
What are some alternatives?
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XlsxWriter - A Python module for creating Excel XLSX files.
Elasticsearch .NET - This strongly-typed, client library enables working with Elasticsearch. It is the official client maintained and supported by Elastic.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
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elementary - The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.