Cost Python Packages

ai-costs

What a block of AI-assisted work cost — real, API-equivalent, vendor quote — from the usage already on disk (Claude Code, Codex CLI, Gemini CLI, Grok Build CLI, your own logs)

git-fame

:star: Pretty-print `git` repository collaborators sorted by contributions

finops-mcp

The headless FinOps intelligence layer: API-first, agent-first cost control for cloud + AI. Connect your cloud stack in Claude, Cursor, or the terminal, and gate what agents do to your infra before they act. Propose-only. Open source, local-first.

gammarer-aws-daily-cost-usage-reporter

This library deploys an AWS Cost and Usage reporter that runs daily and posts a cost summary to Slack.

gammarers-aws-daily-cost-usage-report-stack

This library deploys an AWS Cost and Usage reporter that runs daily and posts a cost summary to Slack.

runcost-ai

Small polyglot cost ledger for LLM and agent API calls

llm-registry

A centralized registry for discovering and managing LLM model capabilities. Track model features, costs, and limitations across providers like OpenAI, Anthropic and other open source models. Supports both verified model definitions and user-managed entries with local storage.

azurecost

It is a CLI that lists azure costs in an easy-to-read format.

kicost-digikey-api-v3

KiCost plugin for the Digikey PartSearch API

llm-toll

A lightweight, drop-in Python decorator to track costs, monitor token usage, and enforce budget and rate limits for LLM API calls.

nable

The headless FinOps intelligence layer: API-first, agent-first cost control for cloud + AI. Connect your cloud stack in Claude, Cursor, or the terminal, and gate what agents do to your infra before they act. Propose-only. Open source, local-first.

athena-cost-guard

Estimate what an AWS Athena query will scan and cost before you run it — and block queries over budget.

aws-finops-mcp-server

An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.

llmprof

pprof for your LLM context - see where every token and dollar goes.

cost-monitoring-construct

Cost Monitoring for AWS CDK Applications

forgesight-mcp

Vendor-neutral, OpenTelemetry-first telemetry for AI agents — traces, cost, budgets & a tamper-evident audit trail to any backend, no agent-code changes.

awscost

table console view cost of aws.

parsimony-cli

Know where every token goes. Token usage and cost observability CLI for Claude Code sessions.

paddlets

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

forgesight-prometheus

Vendor-neutral, OpenTelemetry-first telemetry for AI agents — traces, cost, budgets & a tamper-evident audit trail to any backend, no agent-code changes.

ccexplorer

Cost Explorer for Claude Code

forgesight-governance

Vendor-neutral, OpenTelemetry-first telemetry for AI agents — traces, cost, budgets & a tamper-evident audit trail to any backend, no agent-code changes.

forgesight-datadog

Vendor-neutral, OpenTelemetry-first telemetry for AI agents — traces, cost, budgets & a tamper-evident audit trail to any backend, no agent-code changes.

trackly

Zero-overhead AI cost and usage tracking for Python. Import the library, wrap your LangChain model, and every LLM call is automatically logged - tokens, cost, latency, and your own metadata.