mikekeith52/scalecast
The practitioner's forecasting library
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,327
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
scalecast gained 10 stars in the last 30 days, about 1 a day, and now has 352. It is about 5 years old and has averaged roughly 70 stars a year. It ranks #1,327 among Python repositories and #10,313 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#9141
BEST RANK
Oct 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
scalecast has maintained a continuous presence across global trending indexes, peaking at #9141. Below is the 30-day activity profile:
💡 Overview
scalecast is an open-source project written in Python: The practitioner's forecasting library.
Engineered for speed, consistency, and developer ease, it solves common hurdles in auto-ml, data-science, deep-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ 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.
📥 Installation
$ pip install scalecast
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
scalecast 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.
🎯 Production Use Cases
Production System Integration
Embed scalecast 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 MIT license.
🚀 Getting Started
Install scalecast using your package manager: `pip install scalecast`
Initialize your project workspace or configuration file for scalecast.
Import scalecast into your codebase or invoke it directly from your terminal.
Execute your test suite or run `scalecast --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
mikekeith52/scalecast is currently ranked #10,313 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,299 | frappe/lending | Python | ★ 353 | Compare ↗ |
| #10,299 | 4evy/nixcord | TypeScript | ★ 353 | Compare ↗ |
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| #10,313 | mikekeith52/scalecast This Project | Python | ★ 352 | |
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Frequently Asked Questions
What does scalecast do? +
The practitioner's forecasting library
What language is scalecast written in? +
The primary language is Python. Topics include: auto-ml, data-science, deep-learning, easy-to-use, forecasting.
Is scalecast actively maintained? +
Yes, the last recorded push was on Oct 12, 2026 with 143 open issues being tracked.
How many stars does scalecast have? +
scalecast has 352 stars and 39 forks on GitHub.
How does scalecast rank among GitHub repositories? +
With 352 stars, mikekeith52/scalecast is ranked #10,313 globally across all repositories tracked on GitHubRepo and #1,327 among Python projects.
What license is scalecast distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.