hvpdb 1.0.2.post4

High Velocity Python Database (NoSQL, Embedded, Encrypted)

HVPDB (High Velocity Python Database)

The Secure, Embedded, NoSQL Database for Modern Python Apps.

Overview • Concepts • Installation • Quick Start • Benchmarks

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🚀 What is HVPDB?

HVPDB is a local-first, embedded NoSQL database for Python.

It is designed for developers who want:

• A simple database they fully control
• Strong encryption by default
• High-speed local reads/writes
• No external DB server (no MongoDB / Postgres daemon)

HVPDB combines ideas from:

• SQLite → embedded, file-based
• MongoDB → document-oriented
• Linux tools → CLI-first workflow

Under the hood, it uses:

• MsgPack for fast serialization
• ZStandard for compression
• AES-256-GCM for authenticated encryption

A private, encrypted data store you ship with your app.

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🧠 Core Concepts (Important – Read This First)

1. Embedded, Not a Server

HVPDB runs inside your Python process.

• ❌ No background daemon
• ❌ No TCP port unless you explicitly deploy
• ✅ Just a file + Python API

from hvpdb import HVPDB
db = HVPDB("mydb", password="secret")

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2. Group ≠ Collection ≠ Table

HVPDB intentionally avoids SQL/Mongo terminology.

HVPDB Term Meaning

Database A folder containing encrypted files Group A logical set of documents Document A Python dict with _id

users = db.group("users")
users.insert({"name": "Alice"})

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3. Memory-First, Disk-Safe

Reads are memory-first → extremely fast

Writes go through WAL (Write-Ahead Log)

Disk data is always encrypted

Result:

Fast developer experience

Safe crash recovery

Predictable performance

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4. Two Ways to Use HVPDB

Mode Purpose

Python API Application logic HVPShell Human interaction, debugging, inspection

HVPShell is a database editor, not the database itself.

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✨ Key Features

🔒 Encryption by Default AES-256-GCM encryption at rest.

⚡ High Performance WAL v2, batched commits, compressed storage.

📦 Transactions (ACID) Atomic commits with rollback support.

🐚 HVPShell (Ops Shell) Interactive CLI with:

auto-complete

rich tables

schema inference

audit & history tools

🕸️ Thread-Safe Safe for FastAPI / AsyncIO / Flask via contextvars.

🌐 Optional HTTP Server Expose your DB via REST when needed.

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📦 Installation

pip install hvpdb

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⚡ Quick Start (Python API)

from hvpdb import HVPDB

db = HVPDB("mydb", password="super_secret_key")

users = db.group("users")

users.insert({
    "name": "Alice",
    "email": "[e-mail]",
    "role": "admin"
})

users.create_index("email", unique=True)

admin = users.find_one({"role": "admin"})
print(admin["name"])

with db.begin():
    users.insert({"name": "Bob"})
    users.insert({"name": "Charlie"})

db.close()

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🖥️ CLI Power (HVPShell)

Initialize database

hvpdb init my_project "secret123"

Enter shell

hvpdb shell my_project "secret123"

Example workflow

target users
make name="Dave" role="dev"
hunt role="dev"
peek
stats login_count

Deploy as API (optional)

hvpdb deploy my_project 8080

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📊 Benchmarks

Running on mid-range hardware (Ryzen 7, NVMe SSD):

Operation	Ops/Sec	Note
Write	~14,000	Batched WAL Commit
Read	~500k+	Memory-first Cache
Index Lookup	O(1)	Hash Map

Generated via hvpdb shell > benchmark

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📂 Project Structure

./hvp/
  └── myapp/
      ├── myapp.hvp          # Encrypted data
      ├── myapp.hvp.log      # WAL
      ├── myapp.hvp.lock
      └── myapp.hvp.writelock

Each database lives in its own folder for clarity and isolation.

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👥 Who is HVPDB for?

• Solo developers

• Indie hackers

• Internal tools

• Security-sensitive apps

• CLI-first workflows

Not designed for:

• Massive distributed clusters

• Multi-terabyte analytics

• Replacing PostgreSQL at scale

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📜 License

Apache License 2.0

✅ Free for personal and commercial use

✅ Modification and redistribution allowed

❗ You may NOT use the name HVPDB, logo, or branding to promote derived products

See LICENSE and TRADEMARK.md for details.

Copyright © 2026 8w6s