PaddleHelix, a bio-computing platform by PaddlePaddle, continues to enhance its HelixFold3 module for biomolecular structure prediction, though users report difficulties with environment setup, particularly concerning CUDA and cuDNN compatibility.
Recent activities highlight ongoing user engagement with numerous issues related to HelixFold3's technical functionality and installation. Notably, issue #341 addresses a high-priority problem with CUDA and cuDNN version mismatches, which remains unresolved. Additionally, there are inquiries about advanced model functionalities like post-translational modifications (#338) and memory constraints (#336), suggesting areas needing documentation improvements or technical optimizations.
Recent issues and pull requests indicate a focus on expanding HelixFold3's capabilities while addressing user-reported bugs. The development team is actively working on enhancing configurability and feature support, as seen in PRs like #329 and #325. However, unresolved issues such as #341 suggest persistent challenges in environment setup that could hinder user adoption if not addressed promptly.
Ryan Garcia (RyanGarciaLI)
helixfold3
module enhancements, including SMILES conformation fixes and license revisions.helixfold3
module.Xiaomin Fang (xiaoyao4573)
YaoYinYing
Timespan | Opened | Closed | Comments | Labeled | Milestones |
---|---|---|---|---|---|
7 Days | 11 | 3 | 20 | 11 | 1 |
30 Days | 22 | 11 | 37 | 22 | 1 |
90 Days | 24 | 11 | 40 | 24 | 1 |
1 Year | 39 | 13 | 56 | 39 | 1 |
All Time | 107 | 53 | - | - | - |
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.
Developer | Avatar | Branches | PRs | Commits | Files | Changes |
---|---|---|---|---|---|---|
Ryan Garcia | 1 | 13/11/2 | 12 | 91 | 29040 | |
Xiaomin Fang | 1 | 0/0/0 | 16 | 4 | 46 | |
Yinying Yao (YaoYinYing) | 0 | 3/0/1 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
Recent GitHub issue activity for PaddleHelix shows a steady stream of user engagement, with issues being created and addressed frequently. Notably, there are several technical inquiries related to the HelixFold3 model, including installation issues, feature requests, and bug reports. Some users have reported difficulties with model predictions and environment setup, indicating potential areas for improvement in documentation or compatibility.
A recurring theme is the challenge users face with setting up the correct environment for running HelixFold3, particularly concerning CUDA and cuDNN versions. Additionally, there are multiple inquiries about specific functionalities of the models, such as handling covalent bonds in protein-ligand interactions or extracting molecular descriptors. These issues highlight a need for clearer guidance on advanced usage scenarios.
#341: CUDA and cuDNN version mismatch HelixFold3
#339: ssDNA won't work
#338: How to include post-translation modifications?
#341: CUDA and cuDNN version mismatch HelixFold3
#339: ssDNA won't work
#336: helixfold3 runs out of memory
These issues reflect both technical challenges and user experience considerations that could guide future development priorities for PaddleHelix.
The dataset provides a list of open and closed pull requests (PRs) for the PaddlePaddle/PaddleHelix repository. This report will analyze these PRs to identify trends, issues, and areas for improvement in the project's development process.
setup.py
.fp32
as default and adds demo results in CIF format.The PaddlePaddle/PaddleHelix project exhibits active development with a focus on enhancing configurability, expanding feature support, and improving usability through recent pull requests. A significant theme is the transition towards more modular and configurable codebases, as seen in PRs #329 and #325, which introduce YAML-based configurations and pip-installable modules.
A notable observation is the presence of long-standing open PRs like #271 (303 days old) and #246 (606 days old), indicating potential bottlenecks or complexities that hinder their resolution. These older PRs might benefit from prioritization or additional resources to address any underlying challenges.
Closed PRs reveal a proactive approach to fixing bugs (#340, #328) and refining existing features (#317, #316). The frequent updates to documentation (#317, #316) suggest an emphasis on maintaining clear communication with users.
However, there are instances where PRs were not merged (#321, #311), possibly due to conflicts or incomplete implementations. This highlights an area for improvement in managing contributions to ensure they align with project goals before submission.
Overall, the project demonstrates a strong commitment to enhancing its bio-computing capabilities through continuous improvements and feature expansions. To further optimize development processes, addressing long-standing PRs and ensuring alignment between contributors' work and project objectives will be crucial steps forward.
helixfold3
module within the PaddleHelix project.helixfold3
module suggest continuous development.Active Development on HelixFold3: The majority of recent commits are centered around the HelixFold3 module, indicating it is a current focus area for the team. This includes both functional enhancements and documentation updates.
Documentation Updates: There is a strong emphasis on keeping documentation up-to-date, as evidenced by multiple commits from Xiaomin Fang. This suggests a commitment to maintaining clear communication and usability for users.
Collaborative Efforts: Ryan Garcia's activity shows significant collaboration through multiple pull requests. This indicates a team-oriented approach to problem-solving and feature development.
Ongoing Maintenance: The presence of bug fixes and script updates suggests ongoing maintenance efforts to ensure stability and functionality of the platform.
Overall, the development team is actively engaged in enhancing the HelixFold3 module while maintaining comprehensive documentation to support user engagement and understanding.