
Open Science Framework
Portable, verifiable receipts for public forecasts

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Which is more popular?
Based on our record, opencode seems to be more popular. It has been mentioned 73 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | forecastlibrary.com | opencode.ai |
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In their own words, as submitted to SaaSHub.


Forecast Library is a free public library of preserved predictions, operated by Future Edge Group. Open Forecast Receipts retain original values, dates, forecasters and provenance. Readers can browse without an account, download structured JSON and independently verify each receipt digest. The...
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Walkthroughs and reviews on video.
Can AI Prove What It Predicted? | Open Forecast Receipt
OpenCode: FASTEST AI Coder + Opensource! BYE Gemini CLI & ClaudeCode!
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As answered by people managing Forecast Library and opencode.
Forecast Library's answer
Forecast Library preserves individual forecasts as portable Open Forecast Receipts: original values, generation time, forecaster identity, declared knowledge boundaries and provenance, with a deterministic SHA-256 digest. Readers can browse public records without an account, download structured JSON, and independently verify that a receipt has not changed. Later evaluations and corrections are separate records. Optional blockchain anchoring provides evidence of integrity and timing; it does not prove forecasting accuracy. The public library and MIT-licensed schema/verifier are available today.
Forecast Library's answer
Choose Forecast Library when the task is preserving and inspecting individual forecast records with a portable, independently verifiable receipt. General research repositories such as Open Science Framework can preserve broader research materials; Forecast Library specialises in forecast subjects, targets, forecasters, receipt integrity and separately appended outcomes. It complements broader research workflows rather than replacing their collaboration features. Public access is free, and iPulse AI is the first production publisher.
Forecast Library's answer
Researchers, forecasters, analysts and developers who need to preserve a prediction, inspect its provenance, verify its integrity and revisit it when the outcome becomes known. The first live use case is financial research, while the underlying receipt structure supports human, quantitative, ensemble and AI forecasts. Public browsing does not require an account. External publication requests are reviewed through support@ipulseai.com during this phase.
Forecast Library's answer
Forecast Library grew from Open Forecast Receipt, an open-source initiative by Future Edge Group for portable, verifiable forecast records. It addresses a practical research problem: preserving what was predicted, by whom and with which declared information boundaries before later outcomes are known. iPulse AI is the first production publisher. The library makes those records browsable and downloadable while keeping integrity verification distinct from forecasting performance.
Forecast Library's answer
The public receipt protocol uses a versioned JSON Schema, RFC 8785 canonicalization and SHA-256 payload digests. Structured receipt JSON and the open schema/verifier allow independent integrity checks. The schema and verification tools are MIT licensed at https://github.com/TheFutureEdge/open-forecast-receipt. Optional blockchain attestations add a separate timing/integrity proof layer; they are not required for local verification.
Share your experience with using Forecast Library and opencode. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Forecast Library since Oct 2026.
You can check out Muse Spark 1.3 by using OpenCode (https://opencode.ai/ - open-source AI / coding harness). There's a terminal version and a GUI / desktop version. Good luck! - Source: Hacker News / about 1 month ago
[OpenCode IDE](https://opencode.ai/) (for the indexing part). - Source: Hacker News / about 2 months ago
What the person above is suggesting: * https://pi.dev/ * https://omp.sh/ Personally I also think that OpenCode is nice, their CLI version is enjoyable and their desktop/web version is mostly okay: * https://opencode.ai/. - Source: Hacker News / 2 months ago
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