R Observatory: Metrics for nixtlar version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

nixtlar

1.0.0Package record

A Software Development Kit for 'Nixtla''s 'TimeGPT'

0packages dependsuggested by 1

7.2Kdownloads / year

19.3%test coverage

13/13flavors OK

Overview

About

Maintained by Mariana MencheroCRAN page ↗GitHub ↗Website ↗Issues ↗

A Software Development Kit for working with 'Nixtla''s 'TimeGPT', a foundation model for time series forecasting. 'API' is an acronym for 'application programming interface'; this package allows users to interact with 'TimeGPT' via the 'API'. You can set and validate 'API' keys and generate forecasts via 'API' calls. It is compatible with 'tsibble' and base R. For more details visit https://www.nixtla.io/docs.

Changes in 1.0.0

This release consolidates all changes since the last CRAN release (0.6.2), including the development versions 0.6.3 and 0.6.4.

Breaking changes

nixtlar now requires R (>= 4.1.0).
Set default value for id_col to unique_id in nixtla_client_historic to match the other core functions.

New features

Added support for distinguishing between historic and future exogenous variables in the forecasting and cross-validation functions. This feature was available in the development versions 0.6.3 and 0.6.4, but not in the CRAN version (0.6.2).

Bug fixes

Fixed an HTTP 422 error when using future exogenous variables with h = 1.
Updated internal functions to use the GET method, as the POST method is no longer supported.
Fixed in-sample timestamp reconstruction in nixtla_client_historic for series that share some but not all in-sample sizes.
Fixed handling of mixed date-only and datetime character ds values that previously produced "failed to parse" warnings and NA timestamps.
Made output date-format detection robust across the whole ds column in nixtla_client_historic, nixtla_client_detect_anomalies, nixtla_client_forecast, and nixtla_client_cross_validation, so a leading midnight value no longer truncates the time component of the remaining rows.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("nixtlar", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Nixtla/nixtlar")

Development version from Nixtla/nixtlar. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-nixtlar

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-nixtlar

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-nixtlar

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-01
NOTE3 OK, 11 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 814 wordsVignettesYes · 14 · dynamicNEWSYes · 100% structured · mentions 1.0.0Citation fileNoWebsiteYes · pkgdown

Help pages: 21 (12 internal)includes a package overview page
Examples that run: 18%3 run in a plain check · 14 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (14)

Show 4 moreHide 4 vignettes

How these are measured

Downloads

7.2K

CRAN downloads in the past year

Rank #6,036 · ~20/day · ~602/mo

Releases R versions

Daily download trend is not available in this view yet.

46430 days

1.4K90 days

7.2K1 year

Compare downloads with other packages →

Also on118 r2u5 autocran

How downloads are counted

Repository

nixtla/nixtlar ↗Organization: Nixtla

41Stars

8Forks

21Open issues

0Open PRs

8Releases

245Commits

3Commit identities

License file reads as Apache-2.0 · 245 commits · Last activity 2026-06-23 · +2.5% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 88%
Median days to close, 50 most recently updated closed issues: 10
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2026-07-14 · 402026-10-09 · 41

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/nixtla/nixtlar on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Code of conduct

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-06-23 · The repository has a site deploy workflow

pkgdown site last built 2026-06-23

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 3 practices

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Cursorfirst seen 2026-06-19
Named in .Rbuildignore: .cursor
Named in .gitignore: .cursor
Commits: at least 1 crediting it in the message

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing nixtlar adds 36 packages (21 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (1)

R >= 4.1.0

Imports (9)

dplyr ggplot2 httr2 lubridate purrr rlang tidyr tidyselectutils

LinkingTo (0)

none

Suggests (5)

httptest2 knitr rmarkdown testthat usethis

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

finnts

How these are counted

Code & Tests

Datasets

People & History

People (2)

Mariana Menchero

Author, Maintainer since 0.5.2 (2024)

First author and maintainer

Nixtla

Copyright holder

Copyright held by 'Nixtla'

Releases (4)

Pick two releases to compare their code metrics.

1.0.0Latest
record
2026-06-23 · current release · diff ↗ ·
removed 1 export
.make_request

added 1 export
.get_client_version
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.6.2
record
2024-10-29 · diff ↗ ·
removed 1 export
.get_api_key

added 2 exports
.get_client_steup, nixtla_client_setup
0.6.1
record
2024-10-10 · diff ↗ ·
removed 2 exports
.nixtla_data_prep, date_conversion

added 6 exports
.generate_output_dates, .get_model_params, .level_from_quantiles, .make_request, .r_frequency, .transient_errors
0.5.2
record
2024-06-01
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-06-01
Total releases: 4 / 2 yrs
License: Apache License (>= 2.0)
Minimum R: ≥ 4.1.0
Bundled data: 119 KB / 3 files
Download size: 3.8 MB

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nixtlar")

Format

Menchero, M., & Nixtla. (2026). nixtlar: A Software Development Kit for 'Nixtla''s 'TimeGPT' (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.nixtlar

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nixtlar version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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