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Terribly-Simple Data Base for Time Series

0packages depend
3.7Kdownloads / year
64.2%test coverage
13/13flavors OK

Overview

About

A terribly-simple data base for numeric time series, written purely in R, so no external database-software is needed. Series are stored in plain-text files (the most-portable and enduring file type) in CSV format. Timestamps are encoded using R's native numeric representation for 'Date'/'POSIXct', which makes them fast to parse, but keeps them accessible with other software. The package provides tools for saving and updating series in this standardised format, for retrieving and joining data, for summarising files and directories, and for coercing series from and to other data types (such as 'zoo' series).

Changes in 1.1-0
  • 'read_ts_tables': argument "frequency" can now be NA, in which case the function will first gather possible timestamps from the files to be read. Useful for irregular time-series.
  • minor documentation updates

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 53 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1-0
READMENoVignettesNoNEWSYes · 0% structured · mentions 1.1-0Citation fileNoWebsiteYes
Help pages
7includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
83%
Help pages citing references
0%

Downloads

3.7K
CRAN downloads in the past year
Rank #11,970 · ~10/day · ~307/mo
Daily download trend is not available in this view yet.
29430 days
92190 days
3.7K1 year
Compare downloads with other packages →
Also on93 r2u3 autocran79 c2d4u

Repository

14Stars
0Forks
0Open issues
0Open PRs
0Releases
89Commits
1Commit identities
time-seriesrcsvtsdb
89 commits · Last activity 2026-03-19 · 0% stars, 30d · Default branch at 1.2-0, ahead of CRAN 1.1-0 (checked 2026-10-21)
Responsiveness
not measured

Stars over time

2025-08-15 · 142026-07-07 · 14
PracticesBeta

Checks run against github.com/enricoschumann/tsdb on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing tsdb adds 3 packages (2 with compiled code, 866 KB of source tarballs). Heaviest: zoo 675 KB, datetimeutils 173 KB, fastmatch 18 KB.

Depends (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.6-2 (2019)
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1-0Latest
    record
    2023-02-20 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0-0
    record
    2021-01-06 · diff ↗
  • 0.7-4
    record
    2020-08-27 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.7-1
    record
    2019-08-29 · diff ↗
  • 0.7-0
    record
    2019-08-27 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.6-2
    record
    2019-04-02
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-04-02
Total releases
6 / 7 yrs
License
GPL-3 OSI
Download size
16 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tsdb")
Schumann, E. (2023). tsdb: Terribly-Simple Data Base for Time Series (Version 1.1-0) [Computer software]. https://doi.org/10.32614/CRAN.package.tsdb

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tsdb version 1.1-0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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