Prepare for 0.7.3 release by gee-senbong · Pull Request #744 · Nixtla/nixtla

gee-senbong · 2026-02-12T06:57:38Z

Key Changes:

Update the package versioning logic to move the package version to pyproject.toml (similar to [CHORE] Version bump for release datasetsforecast#83)
Add ruff to dev dependencies
Revise package_and_upload_nixtla to handle the case when the nixtla client with the specified version has not been published

review-notebook-app · 2026-02-12T06:57:43Z

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CLAassistant · 2026-02-12T06:57:45Z

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elessar-for-github · 2026-02-12T06:57:47Z

Changes made by this pull request:

.github/workflows/pytest.yml
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Makefile
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README.md
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nbs/docs/deployment/3_snowflake.ipynb
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nixtla/init.py
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nixtla/scripts/snowflake_install_nixtla.py
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nixtla_tests/snowflake/conftest.py
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nixtla_tests/snowflake/test_snowflake_deployment.py
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pyproject.toml
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uv.lock
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github-actions · 2026-02-12T07:00:40Z

Experiment Results

Experiment 1: air-passengers

Description:

variable	experiment
h	12
season_length	12
freq	MS
level	None
n_windows	1

Results:

metric	timegpt-1	timegpt-1-long-horizon	SeasonalNaive	Naive
mae	12.6793	11.0623	47.8333	76
mape	0.027	0.0232	0.0999	0.1425
mse	213.936	199.132	2571.33	10604.2
total_time	0.7354	1.0535	0.0048	0.0038

Plot:

Experiment 2: air-passengers

Description:

variable	experiment
h	24
season_length	12
freq	MS
level	None
n_windows	1

Results:

metric	timegpt-1	timegpt-1-long-horizon	SeasonalNaive	Naive
mae	58.1031	58.4587	71.25	115.25
mape	0.1257	0.1267	0.1552	0.2358
mse	4040.21	4110.79	5928.17	18859.2
total_time	0.7659	1.1598	0.0037	0.0034

Plot:

Experiment 3: electricity-multiple-series

Description:

variable	experiment
h	24
season_length	24
freq	H
level	None
n_windows	1

Results:

metric	timegpt-1	timegpt-1-long-horizon	SeasonalNaive	Naive
mae	178.293	268.13	269.23	1331.02
mape	0.0234	0.0311	0.0304	0.1692
mse	121589	219485	213677	4.68961e+06
total_time	0.7057	0.9195	0.0048	0.0041

Plot:

Experiment 4: electricity-multiple-series

Description:

variable	experiment
h	168
season_length	24
freq	H
level	None
n_windows	1

Results:

metric	timegpt-1	timegpt-1-long-horizon	SeasonalNaive	Naive
mae	465.497	346.972	398.956	1119.26
mape	0.062	0.0436	0.0512	0.1583
mse	835021	403760	656723	3.17316e+06
total_time	0.8202	0.7691	0.0049	0.0043

Plot:

Experiment 5: electricity-multiple-series

Description:

variable	experiment
h	336
season_length	24
freq	H
level	None
n_windows	1

Results:

metric	timegpt-1	timegpt-1-long-horizon	SeasonalNaive	Naive
mae	558.673	459.757	602.926	1340.95
mape	0.0697	0.0565	0.0787	0.17
mse	1.22723e+06	739114	1.61572e+06	6.04619e+06
total_time	2.1593	0.8972	0.0053	0.0045

Plot:

JQGoh · 2026-02-13T02:05:55Z

nixtla/__init__.py

@@ -1,3 +1,3 @@
-__version__ = "0.7.2"
+__version__ = "0.7.3"


Suggested change

__version__ = "0.7.3"

from importlib.metadata import version

__version__ = version("nixtla")

I suggest that in the near future, we standardize the naming of version similar to what we do in the other repositories like https://github.com/Nixtla/datasetsforecast/pull/83/changes

We also need to revise pyproject.toml file

JQGoh

The main changes required is on the standardization of naming of release version

JQGoh · 2026-02-13T02:16:36Z

nixtla/scripts/snowflake_install_nixtla.py

+        elif pip_result.returncode != 0:
+            # No fallback available — surface the original error
+            pip_result.check_returncode()


Suggested change

elif pip_result.returncode != 0:

# No fallback available — surface the original error

pip_result.check_returncode()

pip_result.check_returncode()

How about we always use check_returncode() regardless of the state of returncode? Per my understanding, it enforces "Does nothing if the return code is 0 (indicating success)"

gee-senbong · 2026-02-13T02:54:24Z

nixtla/scripts/snowflake_install_nixtla.py

+            fallback_args = (
+                base_args + [fallback_package_source] + extra_deps + no_deps_flag
+            )
+            pip_result = subprocess.run(fallback_args, check=True)


We need fallback approach when the package cannot be found in the package repository.

JQGoh

LGTM

Bump nixtla release version

53a8076

gee-senbong force-pushed the senbong/release-0.7.3 branch from e4b84e9 to 53a8076 Compare February 12, 2026 06:59

gee-senbong added 2 commits February 12, 2026 15:54

Fix package_and_upload_nixtla

fa6635d

Revise fix

fd8fcad

gee-senbong requested review from JQGoh and goodwanghan February 12, 2026 08:45

Merge branch 'main' into senbong/release-0.7.3

3883ae0

JQGoh reviewed Feb 13, 2026

View reviewed changes

JQGoh requested changes Feb 13, 2026

View reviewed changes

Versioning in pyproject.toml & remove setup tool

46a8496

gee-senbong force-pushed the senbong/release-0.7.3 branch from 2e1dcb4 to f3ef265 Compare February 13, 2026 02:42

Revise package_and_upload_nixtla

78178c7

gee-senbong force-pushed the senbong/release-0.7.3 branch from f3ef265 to 78178c7 Compare February 13, 2026 02:43

Fix lint type warnings in snowflake_install_nixtla.py

e15597b

gee-senbong commented Feb 13, 2026

View reviewed changes

gee-senbong requested a review from JQGoh February 13, 2026 03:38

JQGoh approved these changes Feb 13, 2026

View reviewed changes

gee-senbong added 2 commits February 13, 2026 12:53

Fix nixtla/scripts/snowflake_install_nixtla.py format issue

b19be0d

Fix nixtla/scripts/snowflake_install_nixtla.py lint issues

7644691

gee-senbong merged commit faf7956 into main Feb 13, 2026
18 checks passed

gee-senbong deleted the senbong/release-0.7.3 branch February 13, 2026 09:38

-__version__ = "0.7.3"
+from importlib.metadata import version
+__version__ = version("nixtla")

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Experiment 1: air-passengers

Description:

Results:

Plot:

Experiment 2: air-passengers

Description:

Results:

Plot:

Experiment 3: electricity-multiple-series

Description:

Results:

Plot:

Experiment 4: electricity-multiple-series

Description:

Results:

Plot:

Experiment 5: electricity-multiple-series

Description:

Results:

Plot:

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gee-senbong commented Feb 12, 2026 •

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