Nixtla/neuralforecast
PythonApache-2.0active
Health
Scalable and user friendly neural :brain: forecasting algorithms.
Health Breakdown
Activity25
Community25
Maintenance14
Popularity25
#baselines#baselines-zoo#deep-learning#deep-neural-networks#deepar#esrnn#forecasting#hierarchical-forecasting#hint#machine-learning#nbeats#nbeatsx#neural-network#nhits#probabilistic-forecasting#pytorch#robust-regression#tft#time-series#transformer
Should you contribute to Nixtla/neuralforecast?
Nixtla/neuralforecast has a FoundDev health score of 89/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
Community
PythonApache 2.0
active
0d ago
