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GitHub / 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
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/databrickslabs%2Ftempo
Stars: 294
Forks: 50
Open Issues: 43
License: other
Language: Jupyter Notebook
Repo Size: 4.43 MB
Dependencies:
43
Created: almost 4 years ago
Updated: 23 days ago
Last pushed: 13 days ago
Last synced: 13 days ago
Topics: data-analysis, data-science, pandas, python, scala, time-series, timeseries, timeseries-analysis, timeseries-data
Files
Dependencies
- actions/checkout v2 composite
- github/codeql-action/analyze v1 composite
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- ammaraskar/sphinx-action 0.4 composite
- canastro/copy-file-action master composite
- peaceiris/actions-gh-pages v3 composite
- actions/cache v2 composite
- actions/checkout v1 composite
- actions/setup-python v1 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/checkout v2 composite
- actions/checkout master composite
- actions/setup-python v2 composite
- actions/setup-python master composite
- codecov/codecov-action v1 composite
- psf/black stable composite
- py-actions/flake8 v2 composite
- Sphinx ==4.5.0
- black ==22.10.0
- chispa ==0.9.2
- coverage ==6.5.0
- flake8 ==6.0.0
- furo ==2022.9.29
- ipython ==8.8.0
- jsonref ==1.0.1
- numpy ==1.23.4
- pandas ==1.5.2
- pyarrow ==10.0.1
- pyspark ==3.2.1
- python-dateutil ==2.8.2
- pytz ==2022.7.1
- scipy ==1.9.3
- semver ==2.13.0
- six ==1.16.0
- sphinx-autobuild ==2021.3.14
- sphinx-copybutton ==0.5.1
- sphinx-design ==0.2.0
- sphinx-panels ==0.6.0
- wheel ==0.38.4
- ipython *