Software Alternatives & Startups

Digraph.dev VS Noms.sh

Compare Digraph.dev VS Noms.sh and see what are their differences

Digraph.dev

AI marketing platform for brands.

No screenshot yet
Rating
0 reviews
Pricing
Freemium Free trial $99 / Monthly
Noms.sh

Nutrition data for 3.7M foods and 298K brands across 230 countries, with barcodes and images

Rating
0 reviews
Pricing
Freemium $29 / Monthly (Sous Chef)
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?

Marketing popularity
100% vs 0%
alternatives listed
1 vs 5

Base details

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

Digraph.dev
Noms.sh
Website digraph.dev noms.sh
Pricing
Freemium Free trial $99 / Monthly Official pricing
Freemium $29 / Monthly (Sous Chef) Official pricing
Platforms —
Web REST API
Company Startup from the United States · 1 - 9 employees —
Listed in

About Digraph.dev and Noms.sh

In their own words, as submitted to SaaSHub.

Digraph.dev
Noms.sh

Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...

Read more about Digraph.dev

Noms is a REST API for nutrition data. One catalog covers 3.7M foods and 298K brands across 230 countries, from generic foods like an apple to packaged supermarket products, with 3.4M barcodes and 566K food images. Each food carries up to 177 nutrients per 100 g or 100 ml. Names are normalized,...

Read more about Noms.sh

Features and specs

What each product offers, as listed by its team.

Digraph.dev 5 features
Noms.sh 7 features
  • Developer-focused positioning
    The .dev domain and branding suggest a tool built for developers and technical teams, so its workflows are likely to fit engineering needs better than a generic product. I could not browse the site, so this is inferred from its positioning rather than confirmed.
  • Graph-based approach
    The name 'Digraph' (directed graph) suggests it models information as connected nodes and relationships. That kind of structure can make dependencies, ideas, or decisions easier to see than flat lists or documents. Confirm how the product actually uses this.
  • Modern, minimal presentation
    Newer developer tools tend to have lean interfaces and a focused feature set, which can mean a short learning curve and less clutter. I could not verify this for Digraph, so check it with a trial.
  • Potential for better organization and clarity
    If the tool works as the name suggests, visualizing relationships between items can improve shared understanding across a team. The benefit depends on how well the product is executed.
  • Early-stage responsiveness
    Smaller or newer products often respond quickly to user feedback and let users influence the roadmap. This is a general tendency and has not been verified for Digraph.
  • Catalog
    3.7M foods and 298K brands across 230 countries
  • Barcode lookup
    3.4M barcodes; look up a packaged product by its code
  • Nutrients
    Up to 177 nutrients per 100 g or 100 ml
  • Search
    Typo-tolerant search by food name
  • Nutrient ranking
    Filter and sort foods by any nutrient
  • Developer experience
    JSON, cursor pagination, RFC 9457 errors, OpenAPI 3.1
  • Free tier
    250 requests a day on one market, no card

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
Digraph.dev
Noms.sh
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Digraph.dev and Noms.sh.

Which are the primary technologies used for building your product?

Noms.sh's answer:

Python, PostgreSQL, and Google Cloud.

What makes your product unique?

Noms.sh's answer:

One catalog covers 3.7M foods and 298K brands across 230 countries, from generic foods like an apple to packaged supermarket products, with 3.4M barcodes and 566K food images. Names are normalized, units reconciled and duplicates merged before the response reaches you. Each food carries up to 177 nutrients per 100 g or 100 ml.

Why should a person choose your product over its competitors?

Noms.sh's answer:

Coverage outside the US, including Latin America, in one API. Clean data without doing the cleanup yourself. A free tier with 250 requests a day and no card, then plans from $29 a month. JSON responses with cursor pagination and RFC 9457 errors, described by an OpenAPI 3.1 document.

How would you describe the primary audience of your product?

Noms.sh's answer:

Developers building food, fitness, nutrition and grocery apps who need reliable nutrition data and barcode lookup without maintaining their own food database.

What's the story behind your product?

Noms.sh's answer:

Food data is scattered across sources that disagree on names, units and duplicates, and every app ends up redoing the same cleanup. Noms does that work once and serves the result through one API.

User comments

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