Electronic Components Data Providers: Quotes, Catalogs and CAD in One Slice · Head-to-head

TME Electronic Components Catalog & API vs Electronic Components Supply Chain & Risk Dataset

Which electronic components data providers: quotes, catalogs and cad in one slice data fits your job: TME Electronic Components Catalog & API, or Electronic Components Supply Chain & Risk Dataset. API, files, or your warehouse. Daily, weekly, or hourly.

Electronic Components Data Providers: Quotes, Catalogs and CAD in One Slice

TME Electronic Components Catalog & API

Electronic Components Data Providers: Quotes, Catalogs and CAD in One Slice

Electronic Components Supply Chain & Risk Dataset

Where the fields line up

1 shared field — join on these.

Field TME Electronic Components Catalog & API Electronic Components Supply Chain & Risk Dataset
mpn documented documented

What each contains

Pick by fit, not by loyalty.

TME Electronic Components Catalog & API Electronic Components Supply Chain & Risk Dataset
Publisher TME (Transfer Multisort Elektronik) Hugging Face
Shape European distributor catalogue with structured product records Curated 791-row risk table, one row per MPN
Footprint Roughly 1.5 million components from 1,300+ supplier brands Exactly 791 parts, about 6.9 MB raw
Distinctive fields parameters, files, price, amount, availability status with supply date is_chinese, confidence_score, risk_score, risk_factors
Documented fields 10 12
Best for Pricing, stock checks, spec extraction across the whole catalog China-origin screening and supplier-concentration risk

What each does better

TME Electronic Components Catalog & API

Pricing context is country-scoped, GB-style, so quotes land in the right market.

Specifications as data, not prose. Each product ships category-specific parameter name/value pairs - a laboratory power supply declaring Number of channels = 1 - plus a typed document list separating installation manuals, documentation, safety data sheets and warranty papers. Related and similar product pointers round out adjacency queries.

Electronic Components Supply Chain & Risk Dataset

The risk dimension, which the catalogue simply does not have. Four of its twelve keys exist to score provenance: an is_chinese flag with a confidence_score between 0.7 and 0.95 on sampled rows, a risk_score observed from 0.1 to 0.6, and explicit reason codes - chinese_origin, critical_category, limited_suppliers. Fourteen of the 791 rows flag Chinese origin outright; the rest earn their scores through criticality and supplier scarcity. No amount of catalogue depth synthesises that column.

One glance says whether a part is a single-source liability. The catalogue shows one seller's shelf; the dataset shows the market around the part.

The verdict

Verdict: sample both - they are complements wearing the same industry tag, scored 8 out of 10 and 7 out of 10 respectively, and neither substitutes for the other.

Its 8/10 reflects a verified ten-field dictionary over enormous breadth.

Pick the Supply Chain & Risk Dataset when the question is exposure: screening a design for China-origin content, ranking parts by supplier concentration, or building a watchlist of critical-category components. Its 7/10 buys the only risk columns in this pairing, at 791-row scale - know that its scoring methodology is undocumented, and treat the scores as directional.

Sample both, pick by fit. See TME Electronic Components Catalog & API · See Electronic Components Supply Chain & Risk Dataset

Fair questions

Do the two datasets cover the same parts?

Only in passing. The dataset's 791 MPNs are a pin-drop subset of the trade, and its heavy hitters - Analog Devices on 195 rows, Texas Instruments on 184, STMicroelectronics on 100, Espressif on 63 - all sit among the catalogue's 1,300-plus brands. The Espressif part ESP8266EX appears in both field dictionaries. Expect most of the catalogue to have no risk row at all.

Which one answers a China-origin exposure question?

Only Electronic Components Supply Chain & Risk Dataset. It carries an is_chinese flag backed by a confidence_score of roughly 0.7 to 0.95, a risk_score observed between 0.1 and 0.6, and named triggers such as chinese_origin, critical_category and limited_suppliers - fourteen of its 791 rows flag Chinese origin outright. The catalogue records manufacturer and country-scoped pricing but computes no risk columns.

Can Datadory deliver both datasets together?

Yes. Either record arrives alone or both land aligned in one feed, delivered daily, weekly, or hourly - your call. Name your MPN list in the sample request and it comes pre-cut.