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OSS Report: Avaiga/taipy


Taipy Prepares for Significant New Release Amid Ongoing UI and Visualization Enhancements

Taipy is an open-source Python library for building production-ready web applications for data and AI projects. It combines user interface generation with scenario and data management capabilities.

The project is currently preparing for a significant new release (version 4.0.0.dev2) while simultaneously addressing a wide range of UI improvements and bug fixes. Recent pull requests show a strong focus on enhancing data visualization capabilities, improving UI components, and refining the project's architecture. Notable changes include the addition of inline controls for the Taipy GUI builder (#1769) and enhanced DAG visualization (#1771).

Recent Activity

The recent pull requests demonstrate a concerted effort to improve Taipy's UI and visualization capabilities. PRs #1787 and #1784 address chart selection issues and add support for images in tables, respectively. These changes, along with improvements to the chat component (#1775) and input fields (#1774, #1762), indicate a strong emphasis on enhancing user experience and visual appeal.

The development team has been actively working on various aspects of the project:

  1. FredLL-Avaiga: Most recently focused on UI component updates, chart functionality improvements, and bug fixes across 177 files.
  2. dinhlongviolin1: Working on decoupling the data layer and improving the decimator functionality for charts.
  3. trgiangdo: Made updates to configuration checking, job execution tracking, and dependency management.
  4. namnguyen20999: Added functionality to the progress and metric UI components.
  5. joaoandre-avaiga: Worked on build and release processes.

Of Note

  1. The project is preparing for a significant release (4.0.0.dev2), indicating substantial changes or new features (#1768).
  2. There's ongoing work to decouple components and improve modularity, as evidenced by efforts to decouple the data layer.
  3. The addition of page styling capabilities (#1765) allows for greater UI customization, potentially expanding Taipy's flexibility for developers.
  4. The project is addressing Windows path length limitations (#1783), which may indicate underlying architectural challenges.
  5. The implementation of inline controls for the Taipy GUI builder (#1769) suggests a focus on improving the developer experience for creating GUIs.

Quantified Reports

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Recent GitHub Issues Activity

Timespan Opened Closed Comments Labeled Milestones
7 Days 15 17 28 0 1
30 Days 48 51 84 0 2
90 Days 156 137 357 0 3
1 Year 302 200 829 0 4
All Time 738 606 - - -

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
Fred Lefévère-Laoide 2 32/32/0 33 177 10551
Dinh Long Nguyen 3 10/10/0 21 45 1400
Fred Lefévère-Laoide 1 0/0/0 7 13 605
Nam Nguyen 2 3/4/0 11 5 454
Đỗ Trường Giang 6 6/8/0 20 28 451
Toan Quach 1 0/0/0 8 28 372
Florian Jacta 1 3/3/0 2 28 239
Fabien Lelaquais 1 1/1/0 1 9 238
João André 1 3/4/0 6 21 109
Rym 1 1/1/0 1 1 45
Jean-Robin 1 2/2/0 4 44 33
Toan Quach 1 1/3/0 1 1 5
Ikko Eltociear Ashimine (eltociear) 0 1/0/0 0 0 0
None (dependabot[bot]) 0 2/0/2 0 0 0
None (pravintargaryen) 0 0/0/1 0 0 0

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

Detailed Reports

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Here is a brief analysis of the recent GitHub issue activity for the Taipy project:

Recent Activity Analysis:

In the past week, there have been several new issues opened related to bugs and feature requests for Taipy. The issues span both the core functionality and GUI components of Taipy. Some notable themes include:

  • Multiple bug reports related to the scenario selector and viewer components, indicating potential issues with scenario management and visualization.
  • Feature requests for improvements to the chart and table components, suggesting users want more customization options.
  • Several issues related to data node handling and viewing, highlighting the importance of robust data management.
  • Requests for enhancements to the CLI and project creation workflows.

One particularly notable issue is #1387, which reports a bug where tgb (Taipy GUI Builder) object descriptions don't render properly in linters. This could significantly impact developer experience and code quality checks. Another important issue is #1379, which proposes making Python expressions in visual elements more Pythonic in the Python API - a change that could improve usability for Python developers.

There are also several issues related to deployment and environment setup, such as problems with Docker configurations and version switching, suggesting some challenges in the project's DevOps aspects.

Issue Details:

Most recently created issues: 1. #1785: "How to bind indexed variables" (open, medium priority) 2. #1781: "Unable to use markdown attribute lists with "text" element" (open, medium priority) 3. #1780: "Allow a Stylekit "card" to be side-by-side with width=fit-content" (open, medium priority)

Most recently updated issues: 1. #1785: "How to bind indexed variables" (open, medium priority) 2. #1781: "Unable to use markdown attribute lists with "text" element" (open, medium priority) 3. #1780: "Allow a Stylekit "card" to be side-by-side with width=fit-content" (open, medium priority)

These recent issues focus on UI customization and layout improvements, indicating ongoing efforts to enhance Taipy's frontend capabilities and user experience.

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Overview

The pull request data provided covers a wide range of updates and improvements to the Taipy project, including bug fixes, new features, documentation updates, and infrastructure changes.

Summary of Pull Requests

#1789: Minor CSS fix for table resetting. #1787: Fixed chart selection issue when using figures. #1784: Added support for images in tables. #1783: Shortened the longest file paths to address Windows path length limitations. #1782: Fixed a layout issue with the job selector component. #1778: Improved generation of indexed properties in .pyi files. #1775: Fixed text color issues in the chat component. #1774: Resolved an issue with the change_delay property in input components. #1771: Enhanced the DAG visualization to show additional data nodes. #1770: Added the _cli package to config's pyproject and setup files. #1769: Implemented inline controls for the Taipy GUI builder. #1768: Prepared for release 4.0.0.dev2. #1766: Made GUI hooks private to improve encapsulation. #1765: Added page styling capabilities to enhance UI customization. #1762: Fixed an issue with multiline input enter action.

Analysis of Pull Requests

Themes and Features: 1. UI Enhancements: Several PRs focus on improving UI components, such as chat (#1775), tables (#1784), and input fields (#1774, #1762). This indicates a strong emphasis on enhancing user experience and visual appeal.

  1. Visualization Improvements: PRs like #1787 and #1771 demonstrate efforts to enhance data visualization capabilities, particularly in charts and DAG representations.

  2. Build and Configuration Updates: PRs #1770 and #1768 show ongoing work to improve the project's build process and prepare for new releases.

  3. Code Quality and Structure: PRs like #1783 and #1778 address code organization and generation issues, improving maintainability and developer experience.

  4. Styling and Customization: PR #1765 introduces page styling capabilities, allowing for greater UI customization.

Notable Observations:

  • The project seems to be actively preparing for a significant release (4.0.0.dev2), indicating substantial changes or new features.
  • There's a balance between fixing existing issues and introducing new features, showing a commitment to both stability and innovation.
  • Many PRs address specific user-reported issues or feature requests, demonstrating responsiveness to the community.
  • The changes span both frontend (GUI) and backend (Core) components of Taipy, reflecting its full-stack nature.

Areas of Focus:

  • GUI components receive significant attention, with multiple PRs dedicated to improving various UI elements.
  • Data visualization and interaction seem to be key areas of development.
  • There's ongoing work to improve developer tools and project structure.

Potential Concerns:

  • Some PRs (#1783) address limitations related to file path lengths, which might indicate underlying architectural challenges.
  • The need to make GUI hooks private (#1766) suggests a focus on improving the API design and encapsulation.

Overall, the pull requests demonstrate a project in active development, with a strong focus on improving user experience, data visualization capabilities, and overall code quality. The balance between feature additions and bug fixes indicates a mature development process with attention to both innovation and stability.

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Here is a summary of the recent development team activity for the Taipy project:

Development Team and Recent Activity

The most active developers over the past 30 days have been:

  • FredLL-Avaiga: 33 commits, 10,551 changes across 177 files. Focused on UI component updates, chart functionality improvements, and various bug fixes.

  • dinhlongviolin1: 21 commits, 1,400 changes across 45 files. Working on decoupling the data layer and improving the decimator functionality for charts.

  • trgiangdo: 20 commits, 451 changes across 28 files. Made updates to configuration checking, job execution tracking, and dependency management.

  • namnguyen20999: 11 commits, 454 changes across 5 files. Added functionality to the progress and metric UI components.

  • joaoandre-avaiga: 6 commits, 109 changes across 21 files. Worked on build and release processes.

Key recent activities:

  • Updating UI components like charts, tables, and inputs to improve functionality and styling
  • Decoupling the data layer to improve data handling
  • Enhancing the decimator functionality for more efficient chart rendering
  • Improving configuration validation and error checking
  • Adding execution duration tracking for jobs
  • Updating build processes and dependency management
  • Bug fixes and performance improvements across various components

The team appears to be focused on enhancing core UI capabilities, improving data handling and visualization, and refining the overall architecture and build processes. There is ongoing work to decouple components and improve modularity.