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AWS Cost Calculator CLI - Calculate daily and annual AWS costs across multiple accounts

Project description

AWS Cost Calculator (cc)

A CLI tool to quickly calculate AWS costs across multiple accounts.

Installation

pip install aws-cost-calculator-cli

Or upgrade to the latest version:

pip install --upgrade aws-cost-calculator-cli

Quick Start

Authentication Methods

The CLI supports three authentication methods:

1. SSO (Recommended)

# The CLI will automatically trigger SSO login if needed
cc calculate --profile myprofile --sso my_sso_profile

2. Static Credentials

cc calculate --profile myprofile \
  --access-key-id ASIA... \
  --secret-access-key ... \
  --session-token ...

3. Environment Variables

# For SSO
export AWS_PROFILE=my_sso_profile
cc calculate --profile myprofile

# For static credentials
export AWS_ACCESS_KEY_ID=ASIA...
export AWS_SECRET_ACCESS_KEY=...
export AWS_SESSION_TOKEN=...
cc calculate --profile myprofile

Basic Usage

# Default: Today minus 2 days, going back 30 days
cc calculate --profile myprofile --sso my_sso_profile

# Specific start date
cc calculate --profile myprofile --sso my_sso_profile --start-date 2025-11-04

# Custom offset and window
cc calculate --profile myprofile --sso my_sso_profile --offset 2 --window 30

# JSON output
cc calculate --profile myprofile --sso my_sso_profile --json-output

4. Analyze cost trends

All commands support the same authentication options:

# With SSO
cc trends --profile myprofile --sso my_sso_profile

# With static credentials
cc trends --profile myprofile --access-key-id ASIA... --secret-access-key ... --session-token ...

# With environment variables
export AWS_PROFILE=my_sso_profile
cc trends --profile myprofile

# Analyze more weeks
cc trends --profile myprofile --sso my_sso_profile --weeks 5

# Custom output file
cc trends --profile myprofile --sso my_sso_profile --output weekly_trends.md

# JSON output
cc trends --profile myprofile --sso my_sso_profile --json-output

5. Monthly and drill-down analysis

# Monthly trends
cc monthly --profile myprofile --sso my_sso_profile

# Drill down by service
cc drill --profile myprofile --sso my_sso_profile --service "EC2 - Other"

# Drill down by account
cc drill --profile myprofile --sso my_sso_profile --account 123456789012

6. List profiles

cc list-profiles

Authentication

Overview

The CLI supports three authentication methods, all of which work with every command (calculate, trends, monthly, drill):

Method 1: SSO (Recommended)

The CLI automatically handles SSO login if your session has expired:

cc calculate --profile myprofile --sso my_sso_profile

How it works:

  1. CLI checks if SSO session is valid using aws sts get-caller-identity
  2. If expired, automatically runs aws sso login --profile my_sso_profile
  3. Opens browser for authentication
  4. Proceeds with cost calculation once authenticated

Benefits:

  • No manual SSO login required
  • Automatic session refresh
  • Most secure method
  • Works with AWS IAM Identity Center

Method 2: Static Credentials

Pass temporary credentials directly via CLI flags:

cc calculate --profile myprofile \
  --access-key-id ASIA... \
  --secret-access-key ... \
  --session-token ...

Use cases:

  • CI/CD pipelines
  • Temporary credentials from STS
  • Automated scripts
  • When SSO is not available

Method 3: Environment Variables

Set credentials in your shell environment:

# For SSO
export AWS_PROFILE=my_sso_profile
cc calculate --profile myprofile

# For static credentials
export AWS_ACCESS_KEY_ID=ASIA...
export AWS_SECRET_ACCESS_KEY=...
export AWS_SESSION_TOKEN=...
cc calculate --profile myprofile

Benefits:

  • No need to pass credentials with each command
  • Works with existing AWS CLI configuration
  • Can be set in shell profile (~/.zshrc, ~/.bashrc)

Profile Configuration

Profiles can be stored locally or fetched from a backend API:

Local storage: ~/.config/cost-calculator/profiles.json

{
  "myprofile": {
    "accounts": ["123456789012", "234567890123", ...]
  }
}

Backend API: Set COST_API_SECRET environment variable

Quick setup (saves to shell profile):

cc setup-api
# Enter your API secret when prompted (input will be hidden)

CUR Configuration (for --resources flag):

To use resource-level queries, configure CUR settings:

cc setup-cur
# Enter: Database name, table name, S3 output location

This saves configuration to ~/.config/cost-calculator/cur_config.json

Or set manually:

export COST_API_SECRET="your-api-secret"
cc calculate --profile myprofile --sso my_sso_profile

The CLI will automatically fetch profile configuration from the backend if COST_API_SECRET is set.

How It Works

Date Calculation

  • Start Date: Defaults to today, or specify with --start-date
  • Offset: Days to go back from start date (default: 2)
  • Window: Number of days to analyze (default: 30)

Example: If today is Nov 4, 2025:

  • With offset=2, window=30: Analyzes Oct 3 - Nov 2 (30 days)

Cost Calculation

  1. Operational Costs: Sum of daily costs ÷ window days
  2. Support Allocation:
    • Gets support cost from the analysis month
    • Divides by 2 (50% allocation)
    • Divides by days in that month
  3. Daily Rate: Operational + Support per day
  4. Annual Projection: Daily rate × 365

Filters Applied

  • Billing Entity: AWS only (excludes marketplace)
  • Excluded: Tax, Support (calculated separately)
  • Metric: Net Amortized Cost

Configuration

Profiles are stored in: ~/.config/cost-calculator/profiles.json

Example:

{
  "myprofile": {
    "aws_profile": "my_aws_profile",
    "accounts": ["123456789012", "234567890123", "345678901234"]
  }
}

Examples

# Quick daily check
cc calculate --profile myprofile

# Historical analysis
cc calculate --profile myprofile --start-date 2025-10-01

# Export to JSON for processing
cc calculate --profile myprofile --json-output > costs.json

# Different window size
cc calculate --profile myprofile --window 60

# Weekly cost trends analysis
cc trends --profile myprofile

# Analyze last 8 weeks
cc trends --profile myprofile --weeks 8

# Monthly cost trends analysis
cc monthly --profile myprofile

# Analyze last 12 months
cc monthly --profile myprofile --months 12

# Drill down into specific service
cc drill --profile myprofile --service "EC2 - Other"

# Drill down into specific account
cc drill --profile myprofile --account 123456789012

# Drill down into service within account
cc drill --profile myprofile --service "EC2 - Other" --account 123456789012

Trends Report

The trends command generates a markdown report with two types of analysis:

1. Week-over-Week (WoW)

Compares each week to the previous week - good for catching immediate spikes and changes.

2. Trailing 30-Day (T-30)

Compares each week to the same week 4 weeks ago - filters out noise and shows sustained trends.

Features:

  • Service-level aggregation: Shows total cost per service (not individual usage types)
  • Top 10 Increases/Decreases: For each comparison period
  • Total rows: Sum of top 10 changes for quick assessment
  • Filters: Only shows changes >$10 and >5%

Example output:

Week of Oct 19 → Week of Oct 26 (WoW)
  Increases: 4, Decreases: 10
  Top: EC2 - Other (+$949.12)

Week of Oct 26 vs Week of Sep 28 (T-30)
  Increases: 10, Decreases: 10
  Top: EC2 - Other (+$886.39)

The report is saved to cost_trends.md by default and includes:

  • Service name
  • Previous/baseline cost
  • Current cost
  • Change amount and percentage
  • Total of top 10 changes

Monthly Report

The monthly command generates month-over-month cost comparisons:

Features:

  • Service-level aggregation: Shows total cost per service
  • Calendar month comparisons: October vs September, September vs August, etc.
  • Top 10 Increases/Decreases: For each month comparison
  • Total rows: Sum of top 10 changes
  • Filters: Only shows changes >$50 and >5%

Example output:

October 2025 → November 2025
  Increases: 1, Decreases: 10
  Top: Savings Plans for AWS Compute usage (+$231,161.46)

The report is saved to monthly_trends.md by default.

Drill-Down Analysis

The drill command allows you to investigate cost changes at different levels of detail:

Funnel Approach:

  1. Start broad: cc trends → See EC2 costs up $1000
  2. Drill by service: cc drill --service "EC2 - Other" → See which accounts
  3. Drill deeper: cc drill --service "EC2 - Other" --account 123 → See usage types
  4. Resource-level: cc drill --service "EC2 - Other" --account 123 --resources → See individual instance IDs

Features:

  • Week-over-week cost analysis: Compare costs between consecutive weeks
  • Month-over-month cost analysis: Compare costs between consecutive months
  • Drill-down analysis: Analyze costs by service, account, or usage type
  • Resource-level analysis: See individual resource IDs and costs using CUR data (NEW in v1.7.0)
  • Pandas aggregations: Time series analysis with sum, avg, std across all weeks
  • Volatility detection: Identify services with high cost variability and outliers
  • Trend detection: Auto-detect increasing/decreasing cost patterns
  • Search & filter: Find services by pattern or cost threshold
  • Profile management: CRUD operations for account profiles in DynamoDB
  • Markdown reports: Generate formatted reports
  • JSON output: Machine-readable output for automation
  • Lambda API backend: Serverless backend with pandas/numpy support

Example output:

# Drill by service
cc drill --profile myprofile --service "EC2 - Other"

Showing top accounts:
Week of Oct 19 → Week of Oct 26
  Increases: 3, Decreases: 2
  Top: 123456789012 (+$450.23)

The report is saved to drill_down.md by default.

Output

Analyzing: 2025-10-03 to 2025-11-02 (30 days)
AWS Profile: my_aws_profile
Accounts: 3

Fetching cost data...
Fetching support costs...
============================================================
Period: 2025-10-03 to 2025-11-02
Days analyzed: 30
============================================================
Total operational cost: $450,000.00
Daily operational: $14,516.13
Support (month): $15,000.00
Support per day (÷2÷days): $241.94
============================================================
DAILY RATE: $14,758.07
ANNUAL PROJECTION: $5,386,695
============================================================

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