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Data too big to work with memory you can do in R too, using SparkR. I agree the documentation to something like PySpark is better though. For data within memory, data.table in R beats pandas. Loses to Polars (implemented in Rust that has bindings in Python) but that is not in use much as its new: https://github.com/h2oai/db-benchmark.
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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.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.