Scalable machine ๐ค learning for time series forecasting.
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+32
STARS ยท LAST 30 DAYS
1
PER DAY
#426
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +32 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
mlforecast gained 32 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 5 years old and has averaged roughly 257 stars a year. It ranks #426 among Python repositories and #3,198 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#3658
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mlforecast has maintained a continuous presence across global trending indexes, peaking at #3658. Below is the 30-day activity profile:
๐ก Overview
mlforecast is an open-source project written in Python: Scalable machine ๐ค learning for time series forecasting.
Engineered for speed, consistency, and developer ease, it solves common hurdles in dask, forecast, forecasting. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
๐ฅ Installation
$ pip install mlforecastโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
mlforecast coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
๐ฏ Production Use Cases
Production System Integration
Embed mlforecast into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
๐ Getting Started
Install mlforecast using your package manager: `pip install mlforecast`
Initialize your project workspace or configuration file for mlforecast.
Import mlforecast into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mlforecast --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
Nixtla/mlforecast is currently ranked #3,198 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #3,193 | apache/impala | C++ | โ 1.3K | Compare โ |
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| #3,198 | Nixtla/mlforecast This Project | Python | โ 1.3K | |
| #3,199 | dotnet/dotnet | C# | โ 1.3K | Compare โ |
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Frequently Asked Questions
What does mlforecast do? +
Scalable machine ๐ค learning for time series forecasting.
What language is mlforecast written in? +
The primary language is Python. Topics include: dask, forecast, forecasting, lightgbm, machine-learning.
Is mlforecast actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 28 open issues being tracked.
How many stars does mlforecast have? +
mlforecast has 1,283 stars and 137 forks on GitHub.
How does mlforecast rank among GitHub repositories? +
With 1,283 stars, Nixtla/mlforecast is ranked #3,198 globally across all repositories tracked on GitHubRepo and #426 among Python projects.
What license is mlforecast distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
