Unlocking Speed: Mastering High-Performance Data Structures for Python Data Science

This page summarizes the projects mentioned and recommended in the original post on dev.to
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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Sevalla - Deploy and host your apps and databases, now with $50 credit!
Sevalla is the PaaS you have been looking for! Advanced deployment pipelines, usage-based pricing, preview apps, templates, human support by developers, and much more!
sevalla.com
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  1. narwhals

    Lightweight and extensible compatibility layer between dataframe libraries!

    By offering a common interface, Narwhals simplifies the development of libraries and applications that need to be compatible with various DataFrame frameworks, fostering greater interoperability and reducing the learning curve for users transitioning between them. You can follow its progress on the Narwhals GitHub repository.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
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.

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