Announcing Polars 1.0 (Blog Post)
Polars releases Python version 1.0 after 4 years, gaining popularity with 27.5K GitHub stars and 7M monthly downloads. Plans include improving performance, GPU acceleration, Polars Cloud, and new features.
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Polars has announced the release of version 1.0 for Python, marking a significant milestone after four years of development. The project has gained popularity with 27.5K GitHub stars and 7 million monthly downloads, becoming a competitive option among data modeling libraries. The release signifies the production readiness of Polars' in-memory engine and API, positioning it as a top open-source choice for fast data processing. Future plans include redesigning the streaming engine for improved performance and introducing GPU acceleration with NVIDIA RAPIDS for optimal efficiency. Additionally, Polars Cloud is in development to offer a managed service for hosting and scaling Polars. Short-term goals involve enhancing functionality with features like right joins, extended metadata support, and extended SQL support. The project follows a versioning philosophy inspired by Rust's nightly system, ensuring stability and backward compatibility. Polars expresses gratitude to contributors and the community for their support and invites individuals interested in joining the team to explore available roles.
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