pandasql allows you to query pandas DataFrames using SQL syntax. It works similarly to sqldf in R. pandasql seeks to provide a more familiar way of manipulating and cleaning data for people new to Python or pandas.
2
companies
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"pandasql\"
]
}"Technology
is any of
Pandasql
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
 Germany | Software Development | 140k | $33B | Pandasql | |
 United States | Financial Services | 33k | $18B | Pandasql |
We have data on 2 companies and users that use Pandasql. Our Pandasql users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Frequently asked questions
