The Dify project, managed by Langgenius, is an open-source platform for developing applications with large language models (LLMs). It features AI workflows, RAG pipelines, agent capabilities, model management, and observability tools. The project is active, with significant community interest and ongoing development.
Timespan | Opened | Closed | Comments | Labeled | Milestones |
---|---|---|---|---|---|
7 Days | 149 | 111 | 311 | 12 | 3 |
14 Days | 200 | 132 | 417 | 19 | 3 |
30 Days | 367 | 200 | 789 | 39 | 3 |
All Time | 6229 | 5939 | - | - | - |
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 |
---|---|---|---|---|---|---|
Joel (iamjoel) | 2 | 2/2/0 | 15 | 420 | 10789 | |
None (Yeuoly) | 2 | 4/3/1 | 8 | 223 | 7242 | |
NFish | ![]() |
3 | 3/1/0 | 7 | 38 | 5052 |
Wu Tianwei | ![]() |
4 | 4/3/0 | 9 | 46 | 1836 |
KVOJJJin (JzoNgKVO) | 1 | 2/2/0 | 8 | 43 | 1638 | |
Hash Brown | ![]() |
1 | 2/2/0 | 3 | 16 | 1193 |
Warren Chen | ![]() |
1 | 1/1/0 | 1 | 8 | 971 |
Yi Xiao | ![]() |
2 | 2/2/0 | 4 | 19 | 764 |
-LAN- | ![]() |
4 | 14/13/0 | 20 | 29 | 717 |
aplio | ![]() |
1 | 6/6/0 | 6 | 16 | 596 |
Riddhimaan-Senapati | ![]() |
1 | 12/9/2 | 9 | 32 | 552 |
xhe | ![]() |
1 | 3/2/0 | 2 | 4 | 522 |
非法操作 | ![]() |
1 | 5/3/0 | 3 | 5 | 480 |
Yingchun Lai | ![]() |
1 | 1/2/0 | 3 | 5 | 247 |
Joshbly | ![]() |
1 | 1/1/0 | 1 | 7 | 180 |
Steven sun | ![]() |
1 | 1/1/0 | 1 | 19 | 171 |
engchina | ![]() |
1 | 1/1/0 | 1 | 8 | 170 |
Jason | ![]() |
1 | 4/1/3 | 1 | 34 | 168 |
JasonVV | ![]() |
1 | 2/2/0 | 2 | 4 | 158 |
heyszt | ![]() |
1 | 2/2/0 | 2 | 4 | 158 |
Xin Zhang | ![]() |
1 | 4/2/3 | 2 | 5 | 84 |
Bowen Liang | ![]() |
1 | 4/2/1 | 3 | 4 | 79 |
k-zaku | ![]() |
1 | 1/1/0 | 1 | 7 | 75 |
None (zxhlyh) | 3 | 4/4/0 | 6 | 15 | 71 | |
Novice Lee | ![]() |
2 | 0/0/0 | 2 | 3 | 67 |
sino | ![]() |
1 | 1/1/0 | 1 | 3 | 64 |
呆萌闷油瓶 | ![]() |
1 | 3/3/0 | 3 | 2 | 57 |
Junjie.M | ![]() |
1 | 1/1/0 | 1 | 5 | 51 |
Obada Khalili | ![]() |
1 | 3/2/0 | 2 | 21 | 48 |
zhu-an | ![]() |
1 | 2/2/0 | 2 | 3 | 46 |
Naoki Takashima | ![]() |
1 | 1/1/0 | 1 | 2 | 42 |
github-actions[bot] | ![]() |
1 | 1/1/0 | 1 | 36 | 36 |
Garfield Dai | ![]() |
1 | 0/0/0 | 1 | 2 | 33 |
Nite Knite (nite-knite) | 1 | 1/1/0 | 1 | 5 | 30 | |
Boris Polonsky (BorisPolonsky) | 1 | 3/2/1 | 2 | 9 | 29 | |
weiwenyan-dev | ![]() |
1 | 0/0/0 | 1 | 1 | 23 |
Ademílson Tonato | ![]() |
1 | 1/1/0 | 1 | 4 | 22 |
Xiyuan Chen (GareArc) | 1 | 1/0/1 | 2 | 2 | 20 | |
Nam Vu | ![]() |
1 | 2/2/0 | 2 | 2 | 17 |
dependabot[bot] | ![]() |
1 | 1/1/0 | 1 | 2 | 17 |
胡春东 | ![]() |
1 | 2/1/1 | 1 | 1 | 12 |
MaFee921 | ![]() |
1 | 0/0/0 | 1 | 2 | 11 |
te-chan | ![]() |
1 | 0/0/0 | 1 | 1 | 9 |
kurokobo (kurokobo) | 1 | 2/1/0 | 1 | 3 | 8 | |
yjc980121 | ![]() |
1 | 0/0/0 | 1 | 1 | 8 |
海狸大師 | ![]() |
1 | 1/1/0 | 1 | 1 | 6 |
Kemal | ![]() |
1 | 1/1/0 | 1 | 1 | 6 |
Abdullah AlOsaimi | ![]() |
1 | 3/1/1 | 1 | 1 | 4 |
TechnoHouse | ![]() |
1 | 2/1/0 | 1 | 1 | 4 |
MuYu | ![]() |
1 | 1/1/0 | 1 | 1 | 3 |
Kei YAMAZAKI | ![]() |
1 | 1/1/0 | 1 | 1 | 3 |
le0zh | ![]() |
1 | 1/1/0 | 1 | 1 | 2 |
HQidea | ![]() |
1 | 1/1/0 | 1 | 1 | 2 |
Katy Tao | ![]() |
1 | 1/1/0 | 1 | 1 | 2 |
Jyong (JohnJyong) | 1 | 1/1/0 | 1 | 1 | 2 | |
jiandanfeng | ![]() |
1 | 0/0/0 | 1 | 1 | 2 |
Lazy_Frog | ![]() |
1 | 0/0/0 | 1 | 1 | 2 |
Masashi Tomooka | ![]() |
1 | 1/1/0 | 1 | 1 | 1 |
depy | ![]() |
1 | 2/1/1 | 1 | 1 | 1 |
Fei He (droxer) | 0 | 1/0/0 | 0 | 0 | 0 | |
Wood (Woo0ood) | 0 | 1/0/0 | 0 | 0 | 0 | |
Novice (Nov1c444) | 0 | 1/0/0 | 0 | 0 | 0 | |
Summer-Gu (gubinjie) | 0 | 1/0/0 | 0 | 0 | 0 | |
FingerLiu (FingerLiu) | 0 | 0/0/1 | 0 | 0 | 0 | |
Miki Watanabe (MikiPWata) | 0 | 1/0/0 | 0 | 0 | 0 | |
鹿形鱼 (deershark) | 0 | 1/0/0 | 0 | 0 | 0 | |
None (huayaoyue6) | 0 | 1/0/0 | 0 | 0 | 0 | |
yihong (yihong0618) | 0 | 1/0/0 | 0 | 0 | 0 | |
None (zxfishhack) | 0 | 1/0/0 | 0 | 0 | 0 | |
Kalo Chin | ![]() |
1 | 1/1/0 | 1 | 1 | 0 |
None (maninder-ia) | 0 | 1/0/1 | 0 | 0 | 0 | |
None (shuyingegit) | 0 | 1/0/1 | 0 | 0 | 0 | |
None (codingjaguar) | 0 | 1/0/0 | 0 | 0 | 0 | |
Lorenzo Stflorant (GaoXianSheng132) | 0 | 1/0/1 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
Risk | Level (1-5) | Rationale |
---|---|---|
Delivery | 3 | The project faces a significant backlog of 290 open issues and 97 open pull requests, which could impact delivery timelines if not managed efficiently. While there are ongoing efforts to enhance functionality and user experience, such as the addition of dark mode support (PR#13379) and improvements in model runtime capabilities, the backlog suggests potential bottlenecks in addressing issues and merging pull requests. The presence of numerous documentation-related PRs also indicates existing gaps that need addressing to aid onboarding and understanding for new contributors. |
Velocity | 3 | The project shows strong development activity with significant contributions from multiple developers, indicating a healthy velocity. However, the net increase of 167 unresolved issues over the last 30 days suggests potential bottlenecks that could slow down progress. The high volume of open pull requests (97) also points to possible delays in code review and merging processes, which could impact overall velocity. |
Dependency | 4 | The project relies on various external systems and libraries, such as OpenAI's API and third-party S3 providers, which pose dependency risks. Issues like #13437 (DeepSeek R1 support) highlight challenges with integrating external platforms. Additionally, reliance on specific model versions and configurations introduces further risks if these models are not stable or fully integrated. |
Team | 2 | The team exhibits strong engagement with active contributions from multiple developers across various branches. The collaborative nature of the development process suggests good team dynamics and shared workload, which can mitigate burnout risks. However, the high volume of unresolved issues may indicate potential stress or workload challenges that need monitoring to prevent burnout. |
Code Quality | 3 | While there are ongoing efforts to address code quality through bug fixes and enhancements (e.g., PR#13420), the frequency of such fixes suggests underlying issues in code quality or testing processes. The rapid pace of development necessitates careful monitoring to ensure sustainable progress without compromising code integrity. |
Technical Debt | 3 | The substantial changes introduced by developers like Joel (iamjoel) raise concerns about potential technical debt if these changes are not thoroughly reviewed and tested. The presence of multiple branches and pull requests highlights dependency risks if these branches are not effectively synchronized. |
Test Coverage | 2 | The inclusion of tests in several pull requests, such as those for dark mode support (PR#13379), suggests a focus on maintaining test coverage. However, the absence of explicit information on test coverage in commit activity analysis indicates a need for further assessment to ensure comprehensive testing across all functionalities. |
Error Handling | 3 | While error handling is addressed through specific exceptions like 'CredentialsValidateFailedError', more comprehensive logging and exception management could benefit the project's robustness. User-reported difficulties with file handling suggest potential gaps in error handling that need attention. |
Recent GitHub issue activity for the Dify project shows a diverse range of issues being reported, with a mix of bugs, feature requests, and enhancements. There is a notable focus on improving existing functionalities, such as enhancing workflow capabilities, expanding model support, and addressing integration challenges with external tools and APIs. Several issues highlight the need for better documentation and user guidance, particularly in areas like API usage and model configuration.
Notable anomalies include recurring issues with the integration of specific models (e.g., DeepSeek, Azure OpenAI), which suggest potential gaps in compatibility or documentation. There are also several reports of performance-related problems, such as high CPU usage and memory consumption during large-scale operations. Additionally, some users have reported difficulties with file handling and document processing, indicating areas where the platform's robustness could be improved.
A common theme among the issues is the desire for greater flexibility and customization in workflows and tool integrations. Users are requesting features like conditional variable display, enhanced error handling, and support for additional authentication methods. These requests reflect a growing demand for more sophisticated and adaptable AI solutions within the Dify platform.
#13437: "Please support DeepSeek R1 on Alibaba's Bailian platform"
#13436: "feat: add feature comparison table to main README"
#13434: "Stepfun models have unexpected error: [stepfun] Error: 'str' object has no attribute 'name'"
#13409: "Will there be any problems replacing the
#13407: "EXPOSE_DB_PORT is not configured in the env file."
#13403: "yahoo tools is not available"
These issues reflect ongoing efforts to enhance platform capabilities, address technical challenges, and improve user experience through better documentation and support for diverse use cases.
#13435: Feat: add comparison table to main readme
#13432: chore: use the wrap thinking api for volcengine
<think>
tags.#13431: feat: improve think content display
#13420: fix: make the consistency of the reasoning content in Volcengine API rendering
#13418: fix: add tooltip if user's anthropic trial quota still available
#13401: fix: fail-branch stream output error
#13397: ci: make ci safe using zizmor
#13395: feat: Docker adds SSRF-related timeout settings
#13394: feat: Support deployment in custom subpaths by NEXT_PUBLIC_BASE_PATH
_position.yaml
trigger.tsx
cn
for class names improves readability.gemini-2.0-flash-lite-preview-02-05.yaml
index.tsx
useState
and useTranslation
to manage state and localization.workflow_tool.py
markdown.tsx
memo
, useMemo
) optimizes performance by preventing unnecessary re-renders.aws_s3_storage.py
ClientError
. Logging statements provide insights into the execution flow.document.py
hooks.ts
useState
, useEffect
, and custom hooks enhances modularity and reusability.plugin.py
Overall, the codebase demonstrates good practices in terms of organization, modularity, error handling, and use of modern frameworks (React/TypeScript). However, some areas could benefit from improved documentation to aid maintainability and understanding by new developers or contributors.
The recent activities within the Dify project show a strong focus on enhancing model support, improving user interface components, and ensuring robust internationalization. The team is actively collaborating on resolving bugs, refining features, and integrating new models from various providers. There is a noticeable emphasis on maintaining compatibility with third-party services and enhancing security measures, such as implementing rate limiting for authentication processes.
The development process appears highly collaborative, with multiple contributors working across different branches and frequently merging updates. This indicates an agile approach to development, allowing for rapid iteration and integration of new features. The use of bots for automating routine tasks like i18n file translation suggests an efficient workflow that leverages automation to reduce manual overhead.
Overall, the Dify project is characterized by active development, community engagement, and a commitment to expanding its capabilities as a comprehensive platform for LLM application development.