stlcheck.com - downloads/cost-data.csv
=====================================

One row per FDM filament, 11 rows plus a header row. Generated from
data/materials.json at build time - the same record list that renders table 2 on
the data page - so the file and the page cannot disagree:
    https://stlcheck.com/3d-printing-cost-data/
Prices checked 2026-10-23.

Columns
  material                 Material name as used on the page.
  density_g_cm3            Solid density in g/cm3, from the manufacturer's technical data sheet (ISO 1183).
  density_source           Short label for the data sheet behind density_g_cm3.
  density_source_url       URL of that data sheet.
  price_low_usd_per_kg     Cheapest 1 kg SKU in the price sample, USD per kg, excluding tax and shipping. Blank = single-SKU sample.
  price_mid_usd_per_kg     Median of the price sample, USD per kg.
  price_high_usd_per_kg    Dearest 1 kg SKU in the price sample, USD per kg. Blank = single-SKU sample.
  price_as_of              Date the prices in this row were checked (ISO 8601). Quote it with any figure you reuse.
  price_samples_n          Number of 1 kg listings sampled for this row.
  price_sample_listings    Every sampled listing, as 'name price USD/kg <url>', separated by '; '. Blank = none recorded.
  price_source_url         Reference retail page the dataset records for this material; the full sample is in price_sample_listings.
  price_basis              The dataset's own method note for this row: which stores, what was included or excluded, currency and date.
  price_band_note          Plain-language meaning of the blank cells in this row.
  cost_usd_per_cm3_low     density_g_cm3 x price_low_usd_per_kg / 1000, USD per cm3 of solid volume. Blank = single-SKU sample.
  cost_usd_per_cm3_mid     density_g_cm3 x price_mid_usd_per_kg / 1000, USD per cm3.
  cost_usd_per_cm3_high    density_g_cm3 x price_high_usd_per_kg / 1000, USD per cm3. Blank = single-SKU sample.

Reading the file
  Standard CSV (RFC 4180), UTF-8, comma separated, one header row, '\n' line
  endings. It parses with Python's csv module as-is: csv.DictReader(open(path)).
  Numbers are plain (no currency symbols); dates are ISO 8601.

  Blank cells: a blank price_low / price_high / cost_*_low / cost_*_high means the
  sample held a single 1 kg SKU, so there is no range. Blank is not zero.
  price_band_note states this per row, so the file explains itself without this
  README.

  price_sample_listings is the full provenance: every listing sampled, its price
  and its URL, separated by '; '. price_as_of is the date those listings were read.

Licence
  CC BY 4.0. Attribution, the citation string and the link-back requirement:
  https://stlcheck.com/downloads/LICENSE.txt
  Worth knowing before you quote a figure: prices change, so quote price_as_of
  alongside the number.

Machine-readable description of this dataset
  https://stlcheck.com/downloads/metadata.json

Related files
    https://stlcheck.com/downloads/quote-template.csv
        the quote sheet with one worked example
    https://stlcheck.com/downloads/README.txt
        this file