awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectServer MCPDespreCum realizăm clasamentulPresă
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 repository-uri

Awesome GitHub RepositoriesPortfolio Data Simulation

Services that provide sample API data for developers to populate their frontend project portfolios.

Distinguishing note: Existing candidates focus on financial portfolio analysis or organizational project oversight, not mock data for developer portfolios.

Explore 2 awesome GitHub repositories matching development tools & productivity · Portfolio Data Simulation. Refine with filters or upvote what's useful.

Awesome Portfolio Data Simulation GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • hiteshchoudhary/apihubAvatar hiteshchoudhary

    hiteshchoudhary/apihub

    9,101Vezi pe GitHub↗

    Apihub is a deployable REST API mock server and public sandbox that provides a collection of functional endpoints for testing HTTP requests and building frontend portfolios. It serves as a pre-built backend infrastructure for simulating diverse services without requiring a custom backend. The project provides dedicated mock endpoints for various business domains, including ecommerce workflows, social networking features, realtime chat, and task management. It also includes specialized endpoints for verifying HTTP method behavior and header handling. The system implements a RESTful architectu

    Provides sample data from diverse APIs to help developers build professional frontend portfolios.

    JavaScriptapibackendbackend-api
    Vezi pe GitHub↗9,101
  • tradytics/eitenAvatar tradytics

    tradytics/eiten

    3,143Vezi pe GitHub↗

    Eiten is an AI-powered market analysis platform and quantitative toolset designed to translate statistical market data and options flow into investment strategies. It provides a suite of specialized financial tools, including an analysis platform driven by large language models, a quantitative portfolio optimizer, and a trading strategy backtester. The project distinguishes itself through the use of random matrix theory to filter covariance noise and mathematical algorithms for portfolio optimization. It integrates these capabilities with a financial data bot for delivery of real-time researc

    Tests trained portfolios against held-out future samples to measure performance and strategy robustness.

    Pythonaialgorithmic-tradingeigenvalues
    Vezi pe GitHub↗3,143
  1. Home
  2. Development Tools & Productivity
  3. Portfolio Data Simulation

Explorează sub-etichetele

  • Portfolio Performance ValidationTesting trained financial portfolios against out-of-sample future data to measure real-world viability. **Distinct from Portfolio Data Simulation:** Focuses on historical/future performance testing rather than generating mock API data for portfolios.