Skyvern, a Python-based tool by Skyvern-AI, aims to automate browser workflows using LLMs and Computer Vision, offering resilience against website layout changes. The project has seen active development with significant community interest, evidenced by its 5,629 stars and 403 forks on GitHub.
Recent activities highlight ongoing challenges with network errors (#688) and database connectivity issues (#678), which indicate persistent integration and resource management hurdles. Despite these challenges, the development team remains active, focusing on frontend enhancements, bug fixes, and new feature developments. Notable contributions include Kerem Yilmaz's improvements in async execution contexts and Shuchang Zheng's logging optimizations. The team shows strong collaboration, particularly between Zheng and Yilmaz, driving forward both maintenance and new feature development.
Issues: Network errors (#688) and database issues (#678) are recurring problems. API rate limits (#546) also pose challenges. Deployment difficulties with Docker and PostgreSQL are common themes.
Pull Requests: Recent PRs focus on task management improvements (#709), DOM interaction enhancements (#708), and bug fixes like Bitwarden subprocess timeouts (#703). Deprecated components are being removed for streamlined infrastructure (#700).
Shuchang Zheng
Summary
Quantified Reports
Detailed Reportsrun_streaming.sh, deprecated Docker Compose images.update_task bug, optimized logging.Kerem Yilmaz
LawyZheng
Salih Altun
Suchintan
| Developer | Avatar | Branches | PRs | Commits | Files | Changes |
|---|---|---|---|---|---|---|
| LawyZheng |  |
1 | 25/25/0 | 25 | 21 | 1968 |
| Kerem Yilmaz |  |
1 | 40/40/1 | 40 | 62 | 1864 |
| Suchintan |  |
1 | 0/0/0 | 4 | 5 | 339 |
| Shuchang Zheng |  |
3 | 22/21/2 | 23 | 22 | 215 |
| Salih Altun |  |
1 | 2/2/0 | 2 | 2 | 8 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 1 | 4 | 0 | 1 | 1 |
| 30 Days | 6 | 6 | 10 | 6 | 1 |
| 90 Days | 25 | 33 | 65 | 12 | 1 |
| All Time | 82 | 71 | - | - | - |
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.
Recent GitHub issue activity for the Skyvern project indicates a steady stream of issues being created and updated, reflecting ongoing development and user engagement. Notable anomalies include recurring issues with network errors (#688), database connectivity (#678), and API rate limits (#546). These issues suggest persistent challenges in maintaining stable integrations with external services and managing resource constraints. A theme of troubleshooting deployment and configuration problems is evident, with several users encountering difficulties in setting up the environment, particularly with Docker and PostgreSQL configurations.
#704: Skyvern doesn't load past initial page
#694: Webhook failed
#688: Network error
#678: Issue with database
#575: 2FA login support
#546: RateLimitError: Exceeded OpenAI API Quota Leading to LLMProviderError Despite 0% Usage on Apple M2 Pro
#545: Handle parallel requests and tasks
The provided data consists of a list of closed pull requests (PRs) from the Skyvern-AI/skyvern repository. This repository is part of the Skyvern project, which focuses on automating browser-based workflows using Large Language Models (LLMs) and Computer Vision. The PRs cover a range of updates, including bug fixes, feature enhancements, and infrastructure improvements.
run_streaming.sh script that captured root window screenshots.select2 dropdown detection for better interaction handling.build_html_tree by allowing None as default for element_tree.The Skyvern-AI/skyvern repository shows active development with a focus on enhancing the robustness and functionality of its automation capabilities. A significant number of recent PRs address improvements in DOM interaction and task management, reflecting the project's core objective of providing stable and flexible browser automation.
Several PRs (#709, #692) introduce or enhance frameworks for task management and multi-tab handling, indicating a shift towards more scalable and efficient task execution. This aligns with the project's goal of operating across various websites without custom code.
Bug fixes and optimizations are prevalent throughout the PRs (#703, #701, #695), demonstrating a commitment to maintaining stability and performance. The downgrade of litellm (#696) highlights the team's responsiveness to external library issues that impact functionality.
The removal of deprecated components (#700) and updates to configuration files (#674) suggest ongoing efforts to streamline the project's infrastructure. These changes likely aim to reduce complexity and improve maintainability.
Overall, the PRs reflect a well-rounded approach to development, balancing new feature implementation with necessary maintenance and optimization tasks. The project's emphasis on using AI for automation is evident in updates that enhance interaction capabilities through LLMs (#675, #681). This focus on AI-driven solutions is central to Skyvern's value proposition as an innovative tool for browser-based workflow automation.
Shuchang Zheng (wintonzheng)
run_streaming.sh), deprecating Docker Compose images, and making logging optimizations.update_task bug and made improvements to logging and task management.Kerem Yilmaz (ykeremy)
LawyZheng
Salih Altun (msalihaltun)
Suchintan
Overall, the development team is actively engaged in both maintaining existing functionalities and pushing forward with new features, ensuring the project's robustness and usability.