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ccusage VS mlsql

Compare ccusage VS mlsql and see what are their differences

ccusage

Usage analysis tool for coding (agent) CLIs

Rating
0 reviews
Alternatives Is it good?
mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
Alternatives Is it good?
Sugarbug
Connect your tools into a living knowledge graph. Sugarbug captures every signal to deliver compounding insights and unified context. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

mlsql might be a bit more popular than ccusage. We know about 2 links to it since March 2021 and only 2 links to ccusage.

social mentions
2 vs 2
Developer Tools popularity
100% vs 0%
alternatives listed
42 vs 1

Base details

Website, pricing, platforms and company facts side by side.

ccusage
mlsql
Website ccusage.com github.com
Pricing
Official pricing
—
Listed in
Developer Tools AI SEO AI Tools +1
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

ccusage 5 features
mlsql 0 features
  • Easy to use CLI
    ccusage provides a simple command-line interface for analyzing Claude Code usage from local JSONL files, making it quick to get started without complex setup.
  • Detailed cost breakdown
    It offers detailed reports on token usage and costs broken down by day, month, session, or billing blocks, helping users understand exactly where their usage and spending are going.
  • No API key required
    Since it reads local usage data files directly rather than calling an API, it doesn't require additional API keys or credentials to generate reports.
  • Open source and free
    ccusage is an open-source tool, allowing users to inspect, modify, and contribute to the codebase, and use it without licensing costs.
  • Multiple output formats
    It supports various output formats including tables and JSON, making it flexible for both human review and integration into other scripts or dashboards.

Possible disadvantages

  • Limited to Claude Code
    ccusage is specifically designed for analyzing Claude Code usage data, so it isn't useful for tracking usage of other AI tools or platforms.
  • Depends on local data files
    The tool relies on local JSONL log files generated by Claude Code, so if those files are missing, corrupted, or in an unexpected format, the analysis may be incomplete or inaccurate.
  • Requires Node.js environment
    Since it's a CLI tool typically run via Node.js or npm/npx, users need to have a compatible JavaScript runtime installed, which may be a barrier for non-developers.
  • Manual updates needed
    As Claude Code's data format or features evolve, ccusage may require manual updates to stay compatible, and users need to keep the tool updated themselves.
  • Limited visualization options
    The tool primarily focuses on text-based or tabular output, lacking built-in rich graphical visualizations that some users might want for deeper analysis.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

ccusage
mlsql

No analysis of ccusage yet.

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
ccusage
mlsql
100% 100%
Developer Tools
0% 0%
0% 0%
Web App
100% 100%
100% 100%
AI Developer Tools
0% 0%
0% 0%
LMS
100% 100%

User comments

Share your experience with using ccusage and mlsql. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

ccusage 2 mentions
mlsql 2 mentions
  • Mistral Large 4
    You can confirm the allowed usage amounts with something like [ccusage](https://ccusage.com/) or [tokscale](https://tokscale.ai/). - Source: Hacker News / 19 days ago
  • tokenmaxxing: track AI coding usage across tools and devices
    Tokenmaxxing is our open-source CLI and public leaderboard for bringing those daily totals together. It builds on ccusage and syncs usage to one public profile. - Source: dev.to / 23 days ago
  • Download the files from Docker Container and locally edit them
    I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Alternatives to ccusage and mlsql

When comparing ccusage and mlsql, you can also consider the following products.

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