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OSS Report: danielmiessler/fabric


Fabric Project Sees Active Development with Focus on Documentation and Feature Expansion

Fabric, an open-source framework designed to enhance human capabilities through AI, has experienced a surge in development activity, particularly in documentation improvements and feature expansions. The project, written in Go, facilitates AI integration into daily tasks via customizable AI prompts known as "Patterns."

Recent Activity

The Fabric project currently has 90 open issues, with many centered around API key management and local model functionality. These issues suggest a need for improved documentation and user support. Recent issues such as #876 highlight critical bugs like stream errors, while feature requests like #874 indicate ongoing enhancements.

Development Team Activity

Of Note

  1. API Key Management Issues: Frequent user reports of unauthorized access errors indicate a critical area for improvement.
  2. Local Model Performance Concerns: Users express dissatisfaction with local models compared to cloud-based alternatives.
  3. YouTube Integration: Successful integration of YouTube functionalities enhances Fabric's capabilities.
  4. Docker Support: The addition of Docker support (#845) marks a significant step towards modern deployment practices.
  5. Documentation Enhancements: Ongoing efforts to improve clarity and accessibility in documentation reflect a commitment to user experience.

Quantified Reports

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Recent GitHub Issues Activity

Timespan Opened Closed Comments Labeled Milestones
7 Days 32 15 84 0 1
30 Days 53 123 109 1 1
90 Days 200 150 404 9 1
All Time 389 299 - - -

Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.

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Quantified Commit Activity Over 30 Days

Developer Avatar Branches PRs Commits Files Changes
Jonathan Dunn 1 0/0/0 5 280 44253
Daniel Miessler 1 0/0/0 43 14 2566
Eugen Eisler 1 6/5/1 18 36 1447
Eugen Eisler 1 0/0/0 8 12 452
Doug Hitchen 1 1/1/0 3 2 92
Wilfried AGO 1 1/1/0 1 16 78
Randall Degges 1 2/1/0 1 1 56
Robert Sturla 1 1/1/0 3 1 45
Alejandro 1 1/1/1 1 11 28
failopen 1 0/0/0 1 1 27
Josiah Lawrence 1 2/1/1 2 2 4
Sang Oh 1 1/1/0 1 1 2
Iqbal Abdullah 1 2/1/1 1 1 2
xssdoctor 1 0/0/0 2 2 2
None (ALX99) 0 2/0/0 0 0 0
Eduardo Aguilar Pelaez (edu-ap) 0 1/0/1 0 0 0
None (optman) 0 1/0/1 0 0 0
None (patonw) 0 0/0/1 0 0 0
Ryan Stewart (stuboo) 0 0/0/1 0 0 0
Steven Byrnes (erewhon) 0 0/0/1 0 0 0
None (frstlvl) 0 1/0/1 0 0 0
hav0k (havok87) 0 1/0/1 0 0 0
James Craigen (jaycgen) 0 1/0/0 0 0 0
Stijn Smits (s-smits) 0 0/0/1 0 0 0
Suyog Ghimire (Suyog-16) 0 0/1/0 0 0 0
Igor Dvorkin (idvorkin) 0 0/1/0 0 0 0
Manan Choksi (mchoccie) 0 0/0/1 0 0 0
Nicolás Georger (ngeorger) 0 1/0/1 0 0 0
Sarath Chandra Sai Kavuru (sarath59) 0 0/0/1 0 0 0
Thomas Friedel (tfriedel) 0 1/0/1 0 0 0
None (fail-open) 0 1/1/0 0 0 0
Justin Gardner (Rhynorater) 0 0/1/0 0 0 0
YJTian (Tianyijian) 0 0/0/1 0 0 0
None (buerbaumer) 0 2/0/1 0 0 0
None (builder555) 0 1/0/1 0 0 0
Fahad Usman (fahadshery) 0 1/0/0 0 0 0
Mike Waters (mikewaters) 0 0/0/1 0 0 0
Noam Siegel (noamsiegel) 0 1/0/0 0 0 0
Matheus Ferreira (matheushmfr) 0 0/0/1 0 0 0
Paul Robello (paulrobello) 0 0/1/0 0 0 0
Tony Cardillo MD (TonyCardillo) 0 0/0/1 0 0 0
None (profetik-777) 0 1/0/1 0 0 0
Praharsh Bhatt (praharshbhatt) 0 0/1/0 0 0 0
Charles Holbrow (CharlesHolbrow) 0 0/0/1 0 0 0
Emlin Charly (EatMoreChicken) 0 0/0/1 0 0 0
Arpit Pathak (Thepathakarpit) 0 1/0/0 0 0 0
None (black-backdoor) 0 0/1/0 0 0 0
John Connor (johnconnor-sec) 0 1/1/1 0 0 0
Richard Blanchette (richardphi1618) 0 0/1/0 0 0 0
Dominik Fretz (codewithpassion) 0 0/0/1 0 0 0
None (dependabot[bot]) 0 0/0/1 0 0 0
Campbell McGregor (campbellmcgregor) 0 0/0/1 0 0 0

PRs: created by that dev and opened/merged/closed-unmerged during the period

Detailed Reports

Report On: Fetch issues



Recent Activity Analysis

The Fabric project has seen a notable uptick in activity, with 90 open issues currently logged. A significant portion of these issues revolves around bugs and feature requests, indicating an active user base engaged in both troubleshooting and enhancement discussions. There are recurring themes related to the integration of local models, API key management, and the functionality of various patterns.

Several issues reflect a common frustration with the handling of API keys and model configurations. For instance, users frequently report errors related to unauthorized access when attempting to utilize models without properly configured keys. Additionally, there are numerous inquiries about the functionality of local models, particularly regarding their performance compared to cloud-based alternatives.

Issue Details

Most Recently Created Issues

  1. Issue #876: [Bug]: Reopen #827 stream error: stream ID 3; CANCEL; received from peer

    • Priority: High
    • Status: Open
    • Created: 0 days ago
    • Updated: N/A
  2. Issue #874: [Feature request]: Default output file location with further directory calling

    • Priority: Medium
    • Status: Open
    • Created: 1 day ago
    • Updated: N/A
  3. Issue #870: [Bug]: Duplicate output, ignoring patterns

    • Priority: High
    • Status: Open
    • Created: 1 day ago
    • Updated: N/A
  4. Issue #855: [Question]: Can't output/save a file using --output or | save

    • Priority: Medium
    • Status: Open
    • Created: 3 days ago
    • Updated: 0 days ago
  5. Issue #853: [Question]: How to ask specific questions against clipboard context?

    • Priority: Low
    • Status: Open
    • Created: 3 days ago
    • Updated: N/A

Most Recently Updated Issues

  1. Issue #859: [Bug]: How to use Azure? Setup does not work (Edited 1 day ago)
  2. Issue #855: [Question]: Can't output/save a file using --output or | save (Edited 0 days ago)
  3. Issue #853: [Question]: How to ask specific questions against clipboard context? (Edited 0 days ago)
  4. Issue #831: [Question]: Where are the save and tr commands? (Edited 2 days ago)
  5. Issue #832: [Bug]: YouTube API key can't be blank (Edited 5 days ago)

Analysis of Notable Issues

  • The issue regarding the inability to output or save files (#855) has drawn attention due to its implications for user experience, especially for those relying on Fabric for data processing tasks.
  • The recurring problem with API key management (#859) highlights a critical area for improvement in user onboarding and documentation.
  • The confusion surrounding local model usage (#870) suggests that users may benefit from clearer guidelines on how to configure and utilize these models effectively.

Common Themes

  1. API Key Management: Many issues revolve around the correct configuration and usage of API keys, especially in scenarios where users attempt to switch between local and cloud-based models.
  2. Local Model Functionality: Users express concerns about the performance and availability of local models, indicating a need for better documentation or troubleshooting resources.
  3. Pattern Execution: There are multiple reports of patterns not executing as expected, particularly when dealing with large inputs or specific commands.

This detailed examination of recent activity within the Fabric project reveals both user engagement and areas ripe for enhancement, particularly in terms of documentation and support for local model configurations.

Report On: Fetch pull requests



Report on Pull Requests

Overview

The dataset contains a total of 8 open pull requests (PRs) and 270 closed PRs for the Fabric project, which recently transitioned from Python to Go. The open PRs reflect ongoing efforts to improve documentation, fix bugs, and enhance functionality.

Summary of Pull Requests

Open Pull Requests

  • PR #875: Typo fixed
    Created 1 day ago. This PR addresses several grammatical errors in the documentation files, enhancing clarity and readability. It is a minor yet important contribution to maintain the project's professionalism.

  • PR #872: fix: shadowing original error
    Created 1 day ago. This PR fixes an issue where the original error was being shadowed, ensuring that errors propagate correctly. This change is significant for debugging and maintaining code quality.

  • PR #871: fix: correct os.Exit code from -1 to 1 in main.go
    Created 1 day ago. This PR corrects the exit code in the main application file to align with standard practices, improving error handling.

  • PR #862: Create setup_fabric.bat
    Created 2 days ago. This PR introduces a batch script for Windows users to automate the setup process for Fabric, making it more user-friendly and accessible.

  • PR #861: Scrape url
    Created 3 days ago. This PR adds a new CLI command to scrape webpage content into markdown format using Jina AI, expanding the tool's capabilities significantly.

  • PR #860: Fix broken link in table of contents in README.md
    Created 3 days ago. A minor but necessary fix to ensure that documentation links are functional.

  • PR #852: Adding new pattern: create_recursive_outline
    Created 3 days ago. This PR introduces a new pattern aimed at helping users break down tasks into manageable components, enhancing the utility of the tool.

  • PR #845: dockerised or containerised fabric
    Created 4 days ago. This PR adds Docker support for Fabric, allowing users to run the application in a containerized environment, which is crucial for modern deployment practices.

Closed Pull Requests

  • PR #868: Renamed directory groc to groq
    Closed shortly after creation due to being unnecessary; it was not merged.

  • PR #867: feat: native integration of yt to fabric
    Merged successfully. This feature integrates YouTube functionality directly into Fabric, allowing users to extract transcripts and comments seamlessly.

  • PR #866: test: core
    Merged successfully. Implements unit tests for the core package, enhancing code reliability.

  • PR #865: Fix groq spelling
    Merged successfully. Addresses spelling issues related to "groq," improving consistency across the codebase.

  • PR #864: Fix groq spelling
    Closed without merging; it contained commits from a previous PR that had already been addressed.

Analysis of Pull Requests

The current landscape of open pull requests reflects a strong focus on improving user experience and fixing existing issues within the Fabric project. The recent influx of PRs indicates an active community contributing towards enhancing documentation, fixing bugs, and adding new features that align with user needs.

Themes and Commonalities

  1. Documentation Improvements: Several open PRs (e.g., #875, #860) focus on correcting typos and enhancing clarity within documentation files. This is essential as clear documentation aids both new and existing users in effectively utilizing the framework.

  2. Error Handling Enhancements: The fixes related to error propagation (#872) and exit codes (#871) demonstrate a commitment to improving robustness in error handling within the application. These changes are critical for maintaining software reliability, especially as the project scales.

  3. Feature Expansion: The introduction of new features such as Docker support (#845) and YouTube integration (#867) shows an emphasis on expanding Fabric's capabilities to meet user demands effectively. The addition of scraping functionality (#861) also aligns with this trend towards feature-rich offerings that enhance user productivity.

  4. Community Engagement: The number of contributions from various developers indicates a vibrant community actively participating in the project's evolution. Notably, contributors are addressing both minor fixes and significant enhancements, suggesting a healthy balance between maintenance and innovation.

Anomalies and Observations

While many recent PRs have been merged successfully, some have been closed without merging due to conflicts or redundancy (e.g., PRs #868 and #864). This highlights potential challenges in managing contributions effectively, particularly as more developers engage with the project post-migration to Go.

Additionally, there is a notable absence of older PRs being revisited or merged, indicating that some contributions may be overlooked or require further attention from maintainers. Addressing this could help maintain momentum within the community and encourage continued participation.

Conclusion

The Fabric project is currently experiencing active development with numerous contributions aimed at enhancing functionality and usability. The focus on documentation improvements alongside feature expansions reflects a strategic approach to building a robust AI augmentation tool that meets user needs effectively. However, attention should be given to managing contributions efficiently and ensuring that older PRs do not stagnate without review or action.

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Repo Commits Analysis

Development Team and Recent Activity

Team Members

  • Daniel Miessler (danielmiessler)

    • Recent activity includes multiple updates to the README.md, enhancements to various patterns, and integration of YouTube functionalities. He merged several pull requests related to testing and documentation improvements. Notably, he worked on the native integration of YouTube into Fabric.
  • Eugen Eisler (eugeis)

    • Focused on implementing tests for core functionalities and improving the setup logic. He contributed significantly to the YouTube integration alongside Daniel Miessler. His recent commits include fixes for spelling errors and enhancements in the CI/CD workflows.
  • xssdoctor

    • Made minor updates, including a fix for an input issue in vendors/ollama/ollama.go.
  • failopen

    • Contributed a single commit fixing a spelling error in README.md.
  • Iqbal Abdullah (iqbalabd)

    • Involved in minor updates with a focus on documentation.
  • Randall Degges (rdegges)

    • Added a new pattern for analyzing CFP submissions, contributing significantly to pattern development.
  • PickleOgre

    • Made minor contributions, including typo fixes in fabric.go and ollama.go.
  • Alejandro (criadoperez)

    • Contributed multiple fixes across various patterns.
  • Jonathan Dunn

    • Significant contributions with numerous changes across files, focusing on the transition to Go and overall project improvements.

Recent Commit Summary

  1. Integration of YouTube: Both Daniel Miessler and Eugen Eisler worked on integrating YouTube functionalities into Fabric.
  2. Testing Enhancements: Eugen Eisler implemented tests for core components, while Daniel Miessler updated various patterns and documentation.
  3. Documentation Updates: Extensive updates to README.md were made by Daniel Miessler, reflecting changes due to the migration to Go.
  4. Bug Fixes: Multiple contributors fixed typos and minor bugs across different files.
  5. Pattern Development: New patterns were added for analyzing submissions and other functionalities by Randall Degges and others.

Patterns and Themes

  • The team is actively collaborating on enhancing the core functionalities of Fabric, particularly around the integration of external services like YouTube.
  • There is a strong emphasis on testing and documentation as part of the development process, indicating a focus on quality assurance.
  • The migration from Python to Go is a significant theme, with ongoing adjustments being made to accommodate this transition.
  • Contributions are not limited to major features; minor bug fixes and documentation improvements are also prioritized, showcasing a commitment to maintaining code quality.

Conclusions

The recent activities reflect a highly collaborative environment focused on enhancing functionality while ensuring quality through testing and comprehensive documentation. The transition to Go appears to be well-managed, with significant contributions from multiple team members aimed at improving both user experience and system capabilities.