Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the π₯PyTorch ecosystem. β Star to support our work!
Star History
Momentum
+12
STARS Β· LAST 30 DAYS
1
PER DAY
#444
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +12 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
pykale gained 12 stars in the last 30 days, about 1 a day, and now has 487. It is about 6 years old and has averaged roughly 81 stars a year. It ranks #444 among Python repositories and #3,668 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#2148
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
pykale has maintained a continuous presence across global trending indexes, peaking at #2148. Below is the 30-day activity profile:
π‘ Overview
pykale is an open-source project written in Python: Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the π₯PyTorch ecosystem. β Star to support our work!.
Engineered for speed, consistency, and developer ease, it solves common hurdles in computer-vision, data-science, deep-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
β‘ 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.
π₯ Installation
$ pip install pykaleβ System Requirements
Platforms
- β’ macOS
- β’ Linux
- β’ Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
π§ How It Works
pykale 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.
π― Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with pykale.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
π Getting Started
Install pykale using your package manager: `pip install pykale`
Initialize your project workspace or configuration file for pykale.
Import pykale into your codebase or invoke it directly from your terminal.
Execute your test suite or run `pykale --help` to verify successful setup.
π Strengths
β οΈ Considerations
β Alternatives & Direct Competitors
π₯ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
π Nearby in the Rankings
pykale/pykale is currently ranked #3,668 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,662 | palantir/conjure | Java | β 489 | Compare β |
| #3,662 | Reedyuk/blue-falcon | Kotlin | β 489 | Compare β |
| #3,665 | zendesk/biz | Ruby | β 488 | Compare β |
| #3,665 | project-robius/robrix | Rust | β 488 | Compare β |
| #3,665 | MxIris-Reverse-Engineering/RuntimeViewer | Swift | β 488 | Compare β |
| #3,668 | pykale/pykale This Project | Python | β 487 | |
| #3,668 | gchq/stroom | Java | β 487 | Compare β |
| #3,668 | Oppzippy/OpenSCQ30 | Rust | β 487 | Compare β |
| #3,668 | maathimself/mailflow | JavaScript | β 487 | Compare β |
| #3,672 | roostorg/osprey | Python | β 486 | Compare β |
| #3,673 | shuber/curl | PHP | β 485 | Compare β |
Frequently Asked Questions
What does pykale do? +
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the π₯PyTorch ecosystem. β Star to support our work!
What language is pykale written in? +
The primary language is Python. Topics include: computer-vision, data-science, deep-learning, domain-adaptation, graph-analysis.
Is pykale actively maintained? +
Yes, the last recorded push was on Sep 25, 2026 with 20 open issues being tracked.
How many stars does pykale have? +
pykale has 487 stars and 73 forks on GitHub.
How does pykale rank among GitHub repositories? +
With 487 stars, pykale/pykale is ranked #3,668 globally across all repositories tracked on GitHubRepo and #444 among Python projects.
What license is pykale distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
