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Top 8 Python pydata Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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pyvtreat
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
I've looked at https://github.com/pydata/pandas-datareader and it looks good, does anyone have experience?
Python pydata related posts
- Shuffling large data at constant memory in Dask
- My new company uses Pyspark. I want to learn it before my starting date. Any advice?
- Great forward progress on squashing cluster deadlocks
- Is Numpy always more efficient than Pandas? And how much should we rely on Python anyway?
- Ask HN: Is PySPark a Dead-End?
- How to load 85.6 GB of XML data into a dataframe
- How to load 85.6 GB of XML data into a dataframe
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Index
What are some of the best open-source pydata projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | Dask | 11,982 |
2 | koalas | 3,319 |
3 | stumpy | 2,984 |
4 | pandas-datareader | 2,819 |
5 | distributed | 1,540 |
6 | pyjanitor | 1,279 |
7 | pyvtreat | 114 |
8 | graphblas-algorithms | 60 |
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