Software Alternatives & Startups

HobbyCardIndex VS mlsql

Compare HobbyCardIndex VS mlsql and see what are their differences

HobbyCardIndex

Real sold prices on 16M+ trading cards, with a phone card scanner, grading ROI, collection tracking and dealer tools. Free to start.

Rating
0 reviews
Pricing
Freemium $8.99 / Monthly (Pro plan (a free plan is also available))
mlsql

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

Rating
0 reviews
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?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
Collectibles popularity
100% vs 0%
alternatives listed
25 vs 1

Base details

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

HobbyCardIndex
mlsql
Website hobbycardindex.com github.com
Pricing
Freemium $8.99 / Monthly (Pro plan (a free plan is also available)) Official pricing
—
Platforms
Web REST API
—
Company Startup from Canada · 1 - 9 employees · 2026 —
Listed in

About HobbyCardIndex and mlsql

In their own words, as submitted to SaaSHub.

HobbyCardIndex
mlsql

HobbyCardIndex is an independent price guide and collection platform for trading cards: sports, Pokémon, Magic, Yu-Gi-Oh and 25+ categories, with more than 16 million cards indexed. It tracks real sold prices by card and grade (raw, PSA, BGS, SGC, CGC), with price-history charts, population and...

Read more about HobbyCardIndex

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

HobbyCardIndex 8 features
mlsql 0 features
  • Real sold prices by grade
    Raw, PSA 10/9/8, BGS 9.5, CGC 10 and SGC 10 prices from real sold comps on 16M+ cards, refreshed daily, with price history charts
  • Phone card scanner
    Point your phone camera at a card to identify it and pull its prices and comps, no app install needed
  • Collection tracking
    Live portfolio value and P&L, watchlists, price alerts, and CSV import and export on every plan
  • Grading ROI
    Weighs raw vs graded value against PSA, BGS, SGC and CGC fees so you know if a card is worth grading
  • Card data API
    REST API for card search, prices at every grade, card ID from a photo, sold sales and price-change webhooks. Docs at hobbycardindex.com/developers
  • Commercial data license
    Apps and websites can show HCI prices and sold sales to their users on a Commercial plan, starting with a free setup month
  • Dealer tools
    Inventory with P&L and aging, batch scanning, eBay listing builder, consignment, expenses and card-show tools
  • Pop reports and market data
    PSA, BGS, SGC and CGC population and gem-rate data, market movers and category heatmaps

No features have been listed yet.

Analysis

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

HobbyCardIndex
mlsql

No analysis of HobbyCardIndex 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
HobbyCardIndex
mlsql
100% 100%
0% 0%
0% 0%
LMS
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing HobbyCardIndex and mlsql.

What makes your product unique?

HobbyCardIndex's answer

It prices the exact card at the exact grade. Most tools give you one number per card, or one per PSA grade. We show raw, PSA 10, 9 and 8, BGS 9.5, CGC 10 and SGC 10 side by side from real sold comps, on more than 16 million cards across sports and trading card games, and a grade we don't have comps for shows as a floor instead of borrowing a neighbour's price.

The other part is that it's independent. No grading company or marketplace owns a piece of it, so nobody with a stake in the number is setting it. And the same data is open to other businesses through our API, so an app or a shop can build on it instead of scraping.

Why should a person choose your product over its competitors?

HobbyCardIndex's answer

Because you can do the whole loop in one place. Look a card up or scan it with your phone, see what it sells for at every grade, check whether grading it pays, add it to your collection, and set an alert, without bouncing between four apps. Dealers get inventory, show tools and an eBay listing builder on the same data.

It also covers more than most: sports and trading card games together, more than 16 million cards, with Japanese Pokémon and One Piece sets most tools skip. It's free to start with no credit card, and the paid plans start at $8.99 a month.

How would you describe the primary audience of your product?

HobbyCardIndex's answer

Three groups, roughly. Collectors who want to know what their cards are worth and whether a card is worth grading, sports and TCG both. Dealers and show vendors who need inventory, pricing at the table and an eBay listing builder that runs off real comps. And businesses, apps, card shops and marketplaces that want card prices, sold sales and card recognition from a photo inside their own product, through our API and a commercial data license.

What's the story behind your product?

HobbyCardIndex's answer

I collect and deal cards out of Victoria, BC, and I kept running into the same thing: pricing one card meant checking three or four apps and still not getting a straight answer for the grade I was holding. Most of the tools were also owned by a grader or a marketplace, which never sat right with me.

So we built the thing I wanted. Real sold prices on every card and every grade, a scanner that works from the phone at a show, collection tracking, and grading math before you pay the fee. We added dealer tools because I needed them myself, and then an API once other businesses started asking for the same data. It's bootstrapped, no outside money, and launched in 2026.

Which are the primary technologies used for building your product?

HobbyCardIndex's answer

Node.js and Express on the back end, PostgreSQL with TimescaleDB for the price history, Redis for caching, and React with Vite on the front end. The card scanner runs on our own image-matching index built from catalog and real sold-listing photos, so a phone picture comes back as the exact card. The public REST API sits on the same stack, documented at hobbycardindex.com/developers.

User comments

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

Log in or Post with

Social recommendations and mentions

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

HobbyCardIndex 0 mentions
mlsql 2 mentions

Tracking HobbyCardIndex since Jul 2026.

  • 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: almost 5 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 HobbyCardIndex and mlsql

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