Datasets:
Add all-adopters config, untruncate comparison group, shorten title, add access section
Browse filesall-adopters holds the full 14,697 detected adopters. The comparison group is restored to its full 10,938 rows now that neither side needs truncating. default is unchanged for existing users.
- All-Adopters.csv +0 -0
- Commercial-CA-Comparison.csv +0 -0
- README.md +42 -16
All-Adopters.csv
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Commercial-CA-Comparison.csv
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README.md
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---
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pretty_name: "Let's Encrypt Adoption Among
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license: cc-by-4.0
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tags:
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- cybersecurity
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data_files:
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- split: train
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path: Lets-Encrypt.csv
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- config_name: commercial-ca-comparison
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data_files:
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- split: train
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path: Commercial-CA-Comparison.csv
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---
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# Let's Encrypt Adoption Among
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## Overview
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## Dataset Fields
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-
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| Column | Type | Coverage | Description |
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| ------ | ---- | -------- | ----------- |
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## Comparison Group
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`Commercial-CA-Comparison.csv` holds
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It was built with the same filters as the adopter
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Columns are the 15 above plus `Certificate Authority`, naming the authority or authorities detected.
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| Certificate authority | Organizations | Share |
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| --------------------- | ------------- | ----- |
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| DigiCert |
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| GlobalSign |
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| Sectigo |
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| GoDaddy SSL |
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Load it with `load_dataset("stackscan/lets-encrypt", "commercial-ca-comparison")`. The default config remains the Let's Encrypt file.
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### What the comparison supports
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It supports asking how Let's Encrypt adopters differ from large organizations that buy commercial certificates, across industry, country, size and founding year.
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It does not give an adoption rate. That would need a denominator of all large organizations, which
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Organizations can use more than one certificate authority. Those found with both Let's Encrypt and a commercial authority were removed from the comparison file, so the two groups stay separate at the cost of not representing mixed estates.
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* Website infrastructure can change over time.
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* Results represent observations made in August 2026.
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* The dataset should not be interpreted as an official statement from any company regarding its technology stack.
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* Every row of
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## Citation
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Plain text:
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StackScan. (2026). *Let's Encrypt Adoption Among
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BibTeX:
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```bibtex
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@misc{stackscan_lets_encrypt_2026,
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author = {{StackScan}},
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title = {Let's Encrypt Adoption Among
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year = {2026},
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month = {aug},
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publisher = {StackScan},
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Source page: [Let's Encrypt usage statistics](https://www.stackscan.com/technology/lets-encrypt).
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## License
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Released under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). You are free to share and adapt the data, including commercially, provided you give appropriate credit.
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---
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pretty_name: "Let's Encrypt Adoption Among Large Companies and Organizations"
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license: cc-by-4.0
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tags:
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- cybersecurity
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data_files:
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- split: train
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path: Lets-Encrypt.csv
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- config_name: all-adopters
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data_files:
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- split: train
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path: All-Adopters.csv
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- config_name: commercial-ca-comparison
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data_files:
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- split: train
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path: Commercial-CA-Comparison.csv
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---
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# Let's Encrypt Adoption Among Large Companies and Organizations
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## Overview
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## Dataset Fields
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Three files share the same 15 columns. The comparison file adds a sixteenth.
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| Config | File | Rows | Contents |
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| ------ | ---- | ---- | -------- |
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| `default` | `Lets-Encrypt.csv` | 5,050 | The most popular adopters, by website popularity rank |
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| `all-adopters` | `All-Adopters.csv` | 14,697 | Every adopter detected, including the 5,050 above |
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| `commercial-ca-comparison` | `Commercial-CA-Comparison.csv` | 10,938 | Organizations using a commercial certificate authority and not Let's Encrypt |
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```python
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load_dataset("stackscan/lets-encrypt") # 5,050
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load_dataset("stackscan/lets-encrypt", "all-adopters") # 14,697
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load_dataset("stackscan/lets-encrypt", "commercial-ca-comparison") # 10,938
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```
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`default` is kept for anyone already loading this dataset. For analysis, use `all-adopters`, because `default` is cut by website popularity and that cut is not neutral: it leans toward organizations in the United States and Germany, and toward government, retail and healthcare, relative to the full set.
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Coverage below is for `Lets-Encrypt.csv`. It is a little lower in the full set, where `Year Founded` is 68.4% and `Locality` 78.6%, because less popular websites carry less firmographic detail.
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| Column | Type | Coverage | Description |
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| ------ | ---- | -------- | ----------- |
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## Comparison Group
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`Commercial-CA-Comparison.csv` holds 10,938 large organizations that were found using a commercial certificate authority and were not found using Let's Encrypt. It is there so the adopter data can be measured against something rather than read on its own.
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It was built with the same filters as the adopter data: 5,001 or more employees, company information required, collected August 2026. The two groups share no domains.
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Columns are the 15 above plus `Certificate Authority`, naming the authority or authorities detected. 971 organizations were detected with more than one, written pipe separated.
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| Certificate authority | Organizations | Share |
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| --------------------- | ------------- | ----- |
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| DigiCert | 4,787 | 43.8% |
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| GlobalSign | 3,449 | 31.5% |
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| Sectigo | 2,625 | 24.0% |
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| GoDaddy SSL | 1,089 | 10.0% |
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### What the comparison supports
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Compare it against `all-adopters`, not against `default`. Both are complete populations under the same filters. `default` is truncated by website popularity, so comparing it to this file would measure that truncation as much as anything about certificates.
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It supports asking how Let's Encrypt adopters differ from large organizations that buy commercial certificates, across industry, country, size and founding year.
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It does not give an adoption rate. That would need a denominator of all large organizations, which no file here provides. Any percentage computed by dividing one file by another is meaningless.
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Organizations can use more than one certificate authority. Those found with both Let's Encrypt and a commercial authority were removed from the comparison file, so the two groups stay separate at the cost of not representing mixed estates.
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* Website infrastructure can change over time.
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* Results represent observations made in August 2026.
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* The dataset should not be interpreted as an official statement from any company regarding its technology stack.
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* Every row of the adopter files is an adopter. `Commercial-CA-Comparison.csv` provides a matched group that does not use Let's Encrypt, which supports comparison between the two but still does not support an adoption rate.
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## Citation
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Plain text:
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StackScan. (2026). *Let's Encrypt Adoption Among Large Companies and Organizations* (data collected August 2026) [Data set]. StackScan. https://www.stackscan.com/technology/lets-encrypt
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BibTeX:
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```bibtex
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@misc{stackscan_lets_encrypt_2026,
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author = {{StackScan}},
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title = {Let's Encrypt Adoption Among Large Companies and Organizations},
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year = {2026},
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month = {aug},
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publisher = {StackScan},
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Source page: [Let's Encrypt usage statistics](https://www.stackscan.com/technology/lets-encrypt).
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## Access to More Data
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The files in this repository are CC BY 4.0 and free for anyone to use, including commercially. No request or permission is needed.
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StackScan also provides free access to larger and custom datasets for data journalists, academic researchers, non-profits and other organizations working on non-commercial projects. Ask through [stackscan.com](https://www.stackscan.com/technology/lets-encrypt).
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## License
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Released under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). You are free to share and adapt the data, including commercially, provided you give appropriate credit.
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