# databrickslabs/tempo

<https://repo.masters-masters.com/en/repos/databrickslabs/tempo>

[Home](https://repo.masters-masters.com/en) › [databrickslabs](https://repo.masters-masters.com/en/owners/databrickslabs) › [tempo](https://repo.masters-masters.com/en/repos/databrickslabs/tempo)

databrickslabs/tempo has 348 stars on GitHub. Its RepoMasters card: Alpha tier. API for manipulating time series on top of Apache Spark: lagged time values…

| Field | Value |
| --- | --- |
| Owner | [databrickslabs](https://repo.masters-masters.com/en/owners/databrickslabs) |
| Stars | 348 |
| Forks | 60 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Topics | timeseries, timeseries-data, timeseries-analysis, python, scala, time-series, data-science, pandas, data-analysis |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [databrickslabs/tempo](https://github.com/databrickslabs/tempo) |

## 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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.