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Tokenomics Python Packages

Python packages with the GitHub topic tokenomics. Sorted by monthly downloads, with stars and forks.
juyterman1000
entroly-core

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

10K 474 72
juyterman1000
entroly

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

5K 474 72
seilaman2210-rgb
chocobot

🌱 CCPoC - a decentralized Proof-of-Capacity network

2K 3 2
Ryno2390
prsm-network

PRSM: Protocol for Recursive Scientific Modeling

2K 1 0
data-gras
savi-sdk

Lightweight observability SDK for LLM cost, latency, and PII, that wraps OpenAI, Anthropic, Bedrock, Cohere, Mistral & Vertex AI. Local mode needs no account and makes no network call.

1K 0 0
vamsiramakrishnan
ctx-harness

An artifact-backed context harness for Antigravity that intercepts unbounded tool execution, enforces deterministic digest boundaries, and guarantees zero token bloat in model transcripts.

571 6 1
clearclown
forge-cu-mcp

Tirami — distributed LLM inference where compute is currency. 1 TRM = 10^9 FLOPs. 21B supply cap, yield halving, staking, collusion resistance. 100% Rust, OpenAI-compatible, no token, no ICO. "tira mi su" = pull me up.

237 1 0
stelios12312312
tokenlab

Agent-based economic and tokenomics simulation in Python with declarative scenarios, deterministic lineage, Monte Carlo runs, and reproducible artifacts.

125 17 6
clearclown
forge-sdk

Tirami — distributed LLM inference where compute is currency. 1 TRM = 10^9 FLOPs. 21B supply cap, yield halving, staking, collusion resistance. 100% Rust, OpenAI-compatible, no token, no ICO. "tira mi su" = pull me up.

96 1 0
sanjeevafk
tokstat-observatory

AI Developer Telemetry Observatory & Token Tracker

67 2 0
reflexer-labs
reflexer-digital-twin

Toolkit based on cadCAD for performing automated routine tests and future predictions for a GEB deployment

44 21 13
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology