BYOND VS Driven Data

• Community and Collaboration
  BYOND has a strong community of developers and players which encourages collaboration and sharing of resources, ideas, and feedback.
• Ease of Use
  The platform provides a relatively easy-to-use development environment with its proprietary programming language, DM (Dream Maker), making it accessible to beginners.
• Multiplayer Support
  Built-in multiplayer support simplifies the process of developing networked multiplayer games, which is often a complex task in game development.
• Resource Library
  BYOND offers an extensive library of resources, including tutorials, assets, and code snippets that can accelerate the game development process.
• Free to Use
  The platform is free to download and use, lowering the barrier to entry for aspiring game developers.

Possible disadvantages

• Limited Graphics Capabilities
  The graphics capabilities are relatively outdated compared to modern game engines, which can limit the visual appeal of games developed on the platform.
• Proprietary Language
  The use of the proprietary programming language, DM, may be a barrier for developers familiar with more widely-used languages like C++ or JavaScript.
• Performance Issues
  Performance may degrade with more complex or graphically intensive games, making BYOND less suitable for high-performance game projects.
• Platform Dependency
  BYOND games typically need to be played through the BYOND client, which can limit the reach and accessibility compared to standalone game executables.
• Niche User Base
  The user base, while supportive, is relatively small and niche compared to larger game development communities, which can limit exposure and potential player base.

• Social Impact
  Driven Data focuses on data-driven projects with a social impact, allowing data scientists to contribute to meaningful causes.
• Collaboration and Learning
  Driven Data offers opportunities for collaboration and learning by engaging with a community of data scientists and experts from various fields.
• Real-World Challenges
  The platform provides access to real-world data challenges, which can enhance the skills and experience of participating data scientists.
• Exposure and Recognition
  Participants can gain exposure and recognition for their work by contributing to high-impact projects and competing in challenges.

Possible disadvantages

• Competition Intensity
  The competitive nature of challenges on Driven Data can be intense, potentially discouraging for some participants who are less experienced.
• Resource Limitations
  Participants may face limitations in terms of computational resources and access to tools compared to large organizations or academic institutions.
• Niche Focus
  The focus on socially impactful projects means that the platform may not cater to data scientists interested in more commercial or industry-specific applications.
• Variable Data Quality
  The quality and cleanliness of the data provided in challenges can vary, sometimes requiring significant preprocessing effort from participants.

My History with BYOND

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• "I have a great idea"

  I fell for this when I was a kid on Byond. The idea guy thought he was J. R. R. Tolkien. My sprite artist friend joined me. He was vague about what he wanted and even though we had been making everything he asked of us he brought another... Source: over 5 years ago

Tracking Driven Data since Mar 2021.