Simreal-AI/future-prediction-bench
[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,929
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 |
future-prediction-bench gained 10 stars in the last 30 days, about 1 a day, and now has 110. It is about 1 year old and has averaged roughly 110 stars a year. It ranks #1,929 among Python repositories and #14,833 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#13735
BEST RANK
Oct 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
future-prediction-bench has maintained a continuous presence across global trending indexes, peaking at #13735. Below is the 30-day activity profile:
💡 Overview
future-prediction-bench is an open-source project written in Python: [Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 future-prediction-bench⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
future-prediction-bench 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 future-prediction-bench 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 future-prediction-bench using your package manager: `pip install future-prediction-bench`
Initialize your project workspace or configuration file for future-prediction-bench.
Import future-prediction-bench into your codebase or invoke it directly from your terminal.
Execute your test suite or run `future-prediction-bench --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
Simreal-AI/future-prediction-bench is currently ranked #14,833 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,786 | futuregene/future-os | Rust | ★ 111 | Compare ↗ |
| #14,786 | fzakaria/omniflake | Python | ★ 111 | Compare ↗ |
| #14,786 | databluedev/searchmirror | Python | ★ 111 | Compare ↗ |
| #14,786 | virajbhartiya/laya-vs-jev | Python | ★ 111 | Compare ↗ |
| #14,786 | tihanyin/REx-skill | Python | ★ 111 | Compare ↗ |
| #14,833 | Simreal-AI/future-prediction-bench This Project | Python | ★ 110 | |
| #14,833 | dan-manges/unit-record | Ruby | ★ 110 | Compare ↗ |
| #14,833 | hinke/the-cloud-player | JavaScript | ★ 110 | Compare ↗ |
| #14,833 | xmpppy/xmpppy | Python | ★ 110 | Compare ↗ |
| #14,833 | creationix/jquery-haml | JavaScript | ★ 110 | Compare ↗ |
| #14,833 | petere/postgresqlfs | C | ★ 110 | Compare ↗ |
Frequently Asked Questions
What does future-prediction-bench do? +
[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.
What language is future-prediction-bench written in? +
The primary language is Python. Topics include: software.
Is future-prediction-bench actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 0 open issues being tracked.
How many stars does future-prediction-bench have? +
future-prediction-bench has 110 stars and 8 forks on GitHub.
How does future-prediction-bench rank among GitHub repositories? +
With 110 stars, Simreal-AI/future-prediction-bench is ranked #14,833 globally across all repositories tracked on GitHubRepo and #1,929 among Python projects.
What license is future-prediction-bench distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
