hermes-plt 0.1.14

Foundational intelligence data platform for acquiring, validating, normalizing, storing, and serving intelligence datasets

Hermes

Universal data acquisition and feature engineering SDK for intelligence, finance, and defense applications.

Hermes fetches data from 40+ free global sources, normalizes it, engineers intelligence-ready features, and exposes everything through a clean Python interface (with CLI and TUI). It is not an API server — it is an SDK you import, run, and own.

pip install hermes-plt
# or
uv add hermes-plt

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Quickstart

from hermes import Hermes

hr = Hermes()

# FRED — US macro data (free key required)
hr.fred.connect("YOUR_API_KEY")
gdp = hr.fred.get_series("GDP")

# FRED — search by keyword
results = hr.fred.search_series("inflation")

# FRED — multiple series in one DataFrame
multi = hr.fred.get_multiple_series(["GDP", "UNRATE", "CPIAUCSL"])

# World Bank — no key needed
china_gdp = hr.world_bank.get_data("NY.GDP.MKTP.CD", country="CHN")

# World Bank — browse indicators
hr.world_bank.search_indicators("gdp")

# Feature engineering
from hermes.features import FeatureEngineer
fe = FeatureEngineer()
risk = fe.build_country_risk_features(country="UKR", date="2026-07-14")

Every connector returns a pandas DataFrame. Optional export=True saves to JSON, CSV, Parquet, or Pickle.

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Interfaces

Interface	Command	Purpose
Python SDK	from hermes import Hermes	Primary interface
CLI	$ hermes fetch <source> <indicator>	Scripting, automation
TUI	$ hermes tui	Terminal dashboard

$ hermes fetch fred GDP --country USA --start 2020-01-01
$ hermes fetch world-bank NY.GDP.MKTP.CD --country CHN
$ hermes features build --country UKR --output risk_features.parquet
$ hermes connectors list
$ hermes cache clear --older-than 7d

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Architecture

┌─────────────────────────────────────────────────────────────────────────────┐
│                              HERMES SDK                                     │
│                    from hermes import Hermes                                │
│                                                                             │
│  ┌───────────────────────────────────────────────────────────────────────┐  │
│  │                         CONNECTOR LAYER                               │  │
│  │  FRED  World Bank  IMF  GDELT  NewsAPI  UN Comtrade  BIS  OECD  ...   │  │
│  └───────────────────────────────────────────────────────────────────────┘  │
│                                   ▼                                         │
│  ┌───────────────────────────────────────────────────────────────────────┐  │
│  │                      CORE / CLEANING LAYER                            │  │
│  │  • Schema normalization (ISO dates, ISO country codes, USD values)    │  │
│  │  • Missing value handling (forward-fill, interpolation)               │  │
│  │  • Frequency alignment (D → M → Q → A)                                │  │
│  │  • Outlier detection (IQR, Z-score, MAD)                              │  │
│  │  • Deduplication (hash-based + fuzzy)                                 │  │
│  └───────────────────────────────────────────────────────────────────────┘  │
│                                   ▼                                         │
│  ┌───────────────────────────────────────────────────────────────────────┐  │
│  │                   FEATURE ENGINEERING LAYER                           │  │
│  │  ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────────────┐  │  │
│  │  │     Economic     │ │  Geopolitical   │ │       Composite        │  │  │
│  │  │   • Growth       │ │   • Conflict    │ │  • Country Risk Score  │  │  │
│  │  │   • Volatility   │ │   • Diplomatic  │ │  • Financial Stress    │  │  │
│  │  │   • Inflation    │ │   • Protest     │ │  • Supply Chain Vuln.  │  │  │
│  │  │   • External     │ │   • Governance  │ │  • Social Stability    │  │  │
│  │  └─────────────────┘ └─────────────────┘ └─────────────────────────┘  │  │
│  └───────────────────────────────────────────────────────────────────────┘  │
│                                   ▼                                         │
│  ┌───────────────────────────────────────────────────────────────────────┐  │
│  │                   STORAGE & METADATA LAYER                            │  │
│  │  Raw Cache (Parquet) · Feature Store · Metadata Registry · Lineage    │  │
│  └───────────────────────────────────────────────────────────────────────┘  │
│                                   ▼                                         │
│  ┌───────────────────────────────────────────────────────────────────────┐  │
│  │                      USER INTERFACES                                  │  │
│  │        Python SDK (Primary)    CLI    TUI (Terminal Dashboard)        │  │
│  └───────────────────────────────────────────────────────────────────────┘  │
└─────────────────────────────────────────────────────────────────────────────┘

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Feature Engineering

Hermes transforms raw connector output into intelligence-ready features through a declarative pipeline. Features are versioned, cached, and documented in the metadata registry.

Economic

Category	Examples	Input Sources	Output Use
Growth	GDP YoY/QoQ, industrial production growth	FRED, WB, IMF	Risk scoring, forecasting
Volatility	Rolling std (12m), max drawdown, CV	FRED, IMF	Anomaly detection
Stress	Credit spread, yield curve inversion	FRED, BIS	Financial risk
External	Current account/GDP, FX reserves, debt/GDP	WB, IMF	Sovereign risk
Inflation	CPI YoY, PPI, hyperinflation flag	FRED, WB	Monetary stability
Labor	Unemployment, youth unemployment	FRED, WB, OECD	Social stability

Geopolitical

Category	Examples	Input Sources	Output Use
Conflict	Event count, Goldstein scale, battle deaths	GDELT, UCDP	Security risk
Diplomatic	Treaty signings, diplomatic expulsions	GDELT	Political risk
Protest	Event count, violence level, spread	GDELT	Social stability
Governance	WGI composite, corruption, rule of law	WB, V-DEM	Institutional risk
Media	News sentiment, narrative shift velocity	NewsAPI, GDELT GKG	Trend analysis

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Sources

Build Order

Prio	Connector	Key Required	Aegis Uses	Atlas Uses
W1	FRED	Free (any email)	Economic risk, forecasting	Macro context
W1	World Bank	None	GDP, poverty, governance	Country properties
W2	IMF	None	Financial stats, BOP, WEO	Financial context
W3	BIS	None	Banking stress, credit	Financial institutions
W3	UN Comtrade	Free (any email)	Trade flows, sanctions	Trade relationships
W4	GDELT	None	Conflict, protest, events	Event / actor nodes
W4	UCDP	None	Armed conflict baseline	Conflict nodes
W5	NewsAPI	Free (any email)	RAG, sentiment, trends	Entity extraction
W5	FAO	None	Food security, prices	Commodity nodes
W6	OECD	None	Policy, tax, trade	Policy context
W6	Eurostat	None	EU economic data	EU country properties
W7	EIA	Free (any email)	Energy prices, production	Energy nodes
W7	IEA	Free account	Energy dependence	Energy relationships
W8	USGS	None	Minerals, earthquakes	Mineral / location nodes
W8	V-DEM	Free download	Democracy, regime type	Governance edges
W9	Freedom House	Free download	Political rights	Freedom properties
W9	Transparency Int.	Free download	Corruption index	Corruption properties
W10	ND-GAIN	None	Climate vulnerability	Climate risk properties
W10	EM-DAT	Free account	Natural disasters	Disaster event nodes
W11	NASA POWER	None	Climate data	Environmental context
W11	Open-Meteo	None	Weather, forecasts	Agricultural risk
W12	Wikidata	None	Entity resolution	Entity enrichment
W12	OpenStreetMap	None	Geocoding, boundaries	Location nodes

Complete Inventory (40+ sources)

Economic & Financial — FRED ✅ · World Bank ✅ · IMF · BIS · UN Comtrade · OECD · Eurostat · Penn World Table · Maddison Project · CEPII

Geopolitical & Conflict — GDELT · UCDP · PRIO / Prio Grid · Correlates of War · SIPRI Arms Transfers · Polity IV / V-DEM · CIRI Human Rights · Freedom House · Transparency International · Reporters Without Borders · Fragile States Index · Fund for Peace

Environmental, Social & Commodity — FAO · IEA · EIA · USGS · ND-GAIN · EM-DAT · NASA POWER · Open-Meteo · Our World in Data · UN Data

Media, Knowledge & Geospatial — NewsAPI · GDELT GKG · Wikidata · Wikipedia API · OpenStreetMap · Natural Earth · Sentinel Hub · OpenCorporates

All sources are free to access. None require an institutional (.edu/.org/.gov) email.

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License

MIT