Static-frame Alternatives

static-frame reviews and mentions

• Static-frame: Immutable/statically-typed DataFrames with runtime type validation
  1 project | news.ycombinator.com | 17 Nov 2023
• Type-Hinting DataFrames for Static Analysis and Runtime Validation
  1 project | dev.to | 13 Nov 2023

  This is inadequate, as it ignores the types contained within the container. A DataFrame might have string column labels and three columns of integer, string, and floating-point values; these characteristics define the type. A function argument with such type hints provides developers, static analyzers, and runtime checkers with all the information needed to understand the expectations of the interface. StaticFrame 2 now permits this:

• Memoizing DataFrame Functions: Using Hashable DataFrames and Message Digests to Optimize Repeated Calculations
  1 project | dev.to | 1 Mar 2023

  StaticFrame is an alternative DataFrame library that offers efficient solutions to this problem, both for in-memory and disk-based memoization.

• The Performance Advantage of No-Copy DataFrame Operations
  2 projects | dev.to | 21 Nov 2022

  A NumPy array is a Python object that stores data in a contiguous C-array buffer. The excellent performance of these arrays comes not only from this compact representation, but also from the ability of arrays to share "views" of that buffer among many arrays. NumPy makes frequent use of "no-copy" array operations, producing derived arrays without copying underling data buffers. By taking full advantage of NumPy's efficiency, the StaticFrame DataFrame library offers orders-of-magnitude better performance than Pandas for many common operations.

• Which not so well known Python packages do you like to use on a regular basis and why?
  25 projects | /r/Python | 26 Aug 2022

  static-frame. An immutable alternative to pandas.

• One Fill Value Is Not Enough: Preserving Columnar Types When Reindexing DataFrames
  1 project | dev.to | 28 Jun 2022

  StaticFrame is an immutable DataFrame library that offers solutions to such problems. In StaticFrame, alternative fill value representations can be used to preserve columnar types in reindexing, shifting, and many other operations that require fill_value arguments. For operations on heterogeneously typed columnar data, one fill value is simply not enough.

• static-frame: Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.
  1 project | /r/Python | 16 May 2022
• Bug Sur 11.4 stuttering issues on RX 6800
  1 project | /r/hackintosh | 6 Jun 2021

  For me, one example of high cpu usage is when i visit links like this one (https://github.com/InvestmentSystems/static-frame/blob/master/static_frame/performance/core.py) on GitHub. Safari is extremely laggy when i do nothing more than just scrolling around. Do you have sth like this?

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