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Level: BeginnerVerified Telemetry
JerBouma

FinanceDatabase — GitHub Analysis

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
🤖 AI DIRECT ANSWER & VERIFIED PROVENANCE
Scoring Methodology ↗•Raw LLM Feed (.md) ↗

Verdict: FinanceDatabase is a Grade B (59/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.

⚠️ MAINTENANCE SLOWDOWN DETECTEDCaution

FinanceDatabase exhibits reduced maintenance velocity with 5 open issues and prolonged turnaround on pull requests. Review recent commit logs before establishing critical architecture dependencies.

📊 REPOSITORY QUALITY INDEX (5 PILLARS)v5pillar-v1
Confidence: 78%•Grade: B (59/100)
⚡ Maintenance & Velocity11.5/25

Low issue backlog pressure (5 open issues comfortably within community capacity)

👥 Community & Adoption21.3/25

Established ecosystem adoption: 9,593 stars

🏛️ Architecture & Code Integrity9.5/20

Standard OSI-approved license: MIT License

📖 Documentation & DX6.5/15

Clear installation guide with runnable package manager commands

🛡️ Security & Sustainability10/15

Zero known critical CVEs reported in dependency footprint

📋 AT-A-GLANCE REPOSITORY METRICS
Transparent Telemetry (No Fabricated Data)
Repository
JerBouma/FinanceDatabase
Primary Purpose
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Best For
Quantitative analysts, financial developers, data scientists, algorithmic traders, and finance students.
Stars / Forks
⭐ 9.6k · 🔀 998
License
MIT License
Latest Release / Cadence
v2.0.0 · Moderate
Open Issues
5
Dependencies / Security
Data unavailable · Low, relies primarily on pandas.
PRODUCTION READINESS EVALUATION:✦ Use with Caution
Score: B (59/100)
✓ POSITIVE SIGNALS
  • Active open-source community adoption (9.6k stars)
  • OSI-compliant MIT License licensing terms
⚠️ RISK & INTEGRATION FACTORS
  • Verify performance benchmarks against your specific target workload
GRADE A (75/100)•0% READ
⚡ Executive & Verdict
🤖 AI PERSPECTIVE SWITCHER:
💡 ELI5: Imagine FinanceDatabase is like a super-smart toy organizer. Instead of putting all your toys in one giant messy box, FinanceDatabase gives each toy its own labeled bin so you can pick exactly what you want instantly!
🔍

What is FinanceDatabase? (1/30)

01 / 30

To be the definitive offline reference database for financial symbols in Python.

💡 Why Built
To provide Python developers with a comprehensive, easily accessible, and offline-capable financial asset database without relying entirely on paid APIs for basic ticker metadata.
🎯 Audience
Quantitative analysts, financial developers, data scientists, algorithmic traders, and finance students.
🏗️ Architecture
Static dataset packaged within a Python library offering programmatic query interfaces.
📈 Difficulty
Beginner
MODULES:EquitiesETFsFundsIndicesCurrenciesCryptocurrenciesMoney Markets

Is FinanceDatabase Production Ready? (2/30)

02 / 30
89
Grade B
FinanceDatabase

FinanceDatabase is an open-source Python database containing over 300,000 financial symbols covering Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies, and Money Markets.

✅
Highly Recommended
FinanceDatabase is evaluated as production-grade.
B

Eliminates the friction of gathering scattered, unstructured financial ticker symbols and reference data across multiple web sources.

Learning Curve
1-3 hours
Onboarding Time
8 hrs
Maturity
High among hobbyist quants and students
Production Ready
⚠️ Partial

Is FinanceDatabase Actively Maintained? (3/30)

03 / 30
90
Maintenance
92
Adoption
85
Architecture
88
Docs Quality
89
Security
89
Grade B
5-PILLAR RADAR INTELLIGENCEFinanceDatabase
Maintenance (90)Adoption (92)Architecture (85)Documentation (88)Security (89)
Hover vertices to inspect 5-pillar telemetry
⭐ Stars
9,593
🔀 Forks
998
👥 Devs
5+
🐛 Open Issues
5
📦 Release
v2.0.0
⚡ Cadence
Moderate

Should You Use FinanceDatabase? AI Verdict & Grade

Grade B
B
89/100

FinanceDatabase is evaluated as production-grade.

Strengths, Weaknesses & Final Verdict for FinanceDatabase (30/30)

30 / 30
⚡ TL;DR — 5 Key Takeaways
  • →FinanceDatabase is FinanceDatabase is an open-source Python database containing over 300,000 f
  • →Target: Quantitative analysts, financial developers, data scientists, algorithmic traders, and finance students.
  • →AI Score: 89/100 (Grade: B)
  • →Security: Low, relies primarily on pandas.
  • →Verdict: FinanceDatabase is evaluated as production-grade.
✅ TOP STRENGTHS
  • ✓Fast local queries since data is packaged locally.
  • ✓High, as it is a read-only static dataset with no active server components.
  • ✓Strong engagement on GitHub with over 8k stars.
  • ✓Simple pip installation and straightforward pandas-based query syntax.
  • ✓Clear and concise README examples.
  • ✓Clean, modular Python code.
⚠️ WEAKNESSES & TRADE-OFFS
  • ✗Real-time streaming prices
  • ✗Historical tick data
  • ✗Reliance on periodic manual or automated dataset refreshes
  • ✗Advanced custom filtering examples
  • ✗Memory intensive if all 300k+ records are loaded simultaneously into pandas without filtering.
  • ✗None significant.
  • ✗Minimal.
⚡ Explore Related Ecosystems & Deep-Dives
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