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https://github.com/databrickslabs/tempo

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

https://github.com/databrickslabs/tempo

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.3%) to scientific vocabulary

Keywords

data-analysis data-science pandas python scala time-series timeseries timeseries-analysis timeseries-data
Last synced: 6 months ago · JSON representation

Repository

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Basic Info
Statistics
  • Stars: 326
  • Watchers: 21
  • Forks: 57
  • Open Issues: 30
  • Releases: 28
Topics
data-analysis data-science pandas python scala time-series timeseries timeseries-analysis timeseries-data
Created over 5 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License

README.md

tempo - Time Series Utilities for Data Teams Using Databricks

Project Description

Welcome to Tempo: timeseries manipulation for Spark. This project builds upon the capabilities of PySpark to provide a suite of abstractions and functions that make operations on timeseries data easier and highly scalable.

NOTE that the Scala version of Tempo is now deprecated and no longer in development.

image codecov Downloads PyPI version docs lines of code

Tempo Project Documentation

Owner

  • Name: Databricks Labs
  • Login: databrickslabs
  • Kind: organization

Labs projects to accelerate use cases on the Databricks Unified Analytics Platform

GitHub Events

Total
  • Create event: 16
  • Issues event: 4
  • Release event: 2
  • Watch event: 20
  • Delete event: 19
  • Issue comment event: 17
  • Member event: 4
  • Push event: 112
  • Pull request review comment event: 17
  • Pull request review event: 29
  • Pull request event: 30
  • Fork event: 5
Last Year
  • Create event: 16
  • Issues event: 4
  • Release event: 2
  • Watch event: 20
  • Delete event: 19
  • Issue comment event: 17
  • Member event: 4
  • Push event: 112
  • Pull request review comment event: 17
  • Pull request review event: 29
  • Pull request event: 30
  • Fork event: 5

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 46
  • Total pull requests: 153
  • Average time to close issues: about 1 year
  • Average time to close pull requests: about 1 month
  • Total issue authors: 31
  • Total pull request authors: 11
  • Average comments per issue: 2.54
  • Average comments per pull request: 1.21
  • Merged pull requests: 81
  • Bot issues: 0
  • Bot pull requests: 97
Past Year
  • Issues: 3
  • Pull requests: 16
  • Average time to close issues: 4 months
  • Average time to close pull requests: 21 days
  • Issue authors: 3
  • Pull request authors: 5
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.81
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • tnixon (10)
  • rportilla-databricks (2)
  • TorSy (2)
  • IvoMerchiers (2)
  • MaxDBX (2)
  • R7L208 (2)
  • ghormann (2)
  • sim-san (1)
  • TendouArisu (1)
  • ja-michel (1)
  • Markpajr (1)
  • srggrs (1)
  • mighelone (1)
  • BrianDeacon (1)
  • vadivelselvaraj (1)
Pull Request Authors
  • dependabot[bot] (115)
  • R7L208 (25)
  • tnixon (23)
  • kwang-databricks (9)
  • nfx (7)
  • rportilla-databricks (4)
  • nina-hu (3)
  • jtisbell4 (3)
  • BrianDeacon (2)
  • josh-melton-db (2)
  • souvik-databricks (1)
Top Labels
Issue Labels
enhancement (16) bug (14) question (6) performance (5) future (5) documentation (4) maintenance (3) dependencies (1) invalid (1) build process (1) Reversion (1) duplicate (1) good first issue (1)
Pull Request Labels
dependencies (115)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 2,542,369 last-month
  • Total dependent packages: 4
  • Total dependent repositories: 2
  • Total versions: 29
  • Total maintainers: 2
pypi.org: dbl-tempo

Spark Time Series Utility Package

  • Versions: 29
  • Dependent Packages: 4
  • Dependent Repositories: 2
  • Downloads: 2,542,369 Last month
Rankings
Downloads: 0.4%
Dependent packages count: 3.3%
Stargazers count: 3.9%
Average: 5.1%
Forks count: 6.1%
Dependent repos count: 11.9%
Maintainers (2)
databricks-labs rportilla
Last synced: 6 months ago

Dependencies

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python/setup.py pypi
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