Showing 2 open source projects for "multiple sequence alignment"

View related business solutions
  • Cut Data Warehouse Costs up to 54% with BigQuery Icon
    Cut Data Warehouse Costs up to 54% with BigQuery

    Migrate from Snowflake, Databricks, or Redshift with free migration tools. Exabyte scale without the Exabyte price.

    BigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
    Try BigQuery Free
  • Deploy Apps in Seconds with Cloud Run Icon
    Deploy Apps in Seconds with Cloud Run

    Host and run your applications without the need to manage infrastructure. Scales up from and down to zero automatically.

    Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
    Try Cloud Run Free
  • 1
    Vibe Kanban

    Vibe Kanban

    Get 10X more out of Claude Code, Codex or any coding agent

    ...Vibe Kanban tackles this by enabling users to define tasks as cards on a board, assign those tasks to one or more coding agents, and then track progress and outcomes as each agent executes in the background with its own isolated workspace. It supports running multiple agents in parallel or in sequence, giving engineers the freedom to plan, review, and address higher-level concerns while AI helpers execute individual pieces of work.
    Downloads: 6 This Week
    Last Update:
    See Project
  • 2
    Learn Claude Code

    Learn Claude Code

    Bash is all you need, write a claude code with only 16 line code

    Learn Claude Code is an educational repository that teaches how modern AI coding agents work by walking learners through a sequence of progressively more complex agent implementations, starting with a minimal Bash-based agent and culminating in agents with explicit planning, subagents, and skills. It emphasizes a hands-on learning path where each version (from v0 to v4) adds conceptual building blocks like the core agent loop, todo planning, task decomposition, and domain knowledge skills,...
    Downloads: 3 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB