AI Company Research

Metric

+33.7%npm dependents

Measured values

377 vs 282Jul 12 vs Apr 13

Sources

2 sourcesLibraries.io API + The New York Times · as of July 13, 2026

Cited source

The New York TimesNeon Buys ‘Artificial,’ a Film About OpenAI, After Amazon Dropped It · Jun 30

With The New York Times reporting "Neon Buys ‘Artificial,’ a Film About OpenAI, After Amazon Dropped It" as background, Neon's npm dependents increased 33.7% over the last 90 days, with Libraries.io data through Jul 12.

What this does not prove: Does not show install volume, runtime use, paid use, customer count, revenue, market share, product quality, or code that consumes the package without declaring it in npm metadata.

Metric

+86.8%PyPI dependents

Measured values

1.8K vs 983Jul 12 vs Apr 13

Sources

4 sourcesGH Archive + Hacker News Algolia API +2 more · as of July 13, 2026

Cited source

The Next WebOllama raises $65M as its open-model runner hits nearly 9M developers · Jul 9

According to The Next Web, "Ollama raises $65M as its open-model runner hits nearly 9M developers"; separately, Ollama's PyPI dependents increased 86.8% over the last 90 days, with Libraries.io data through Jul 12.

What this does not prove: Does not show install volume, runtime use, paid use, customer count, revenue, market share, product quality, or code that depends on the package outside indexed PyPI metadata.

Metric

+32.8%PyPI dependents

Measured values

6.1K vs 4.6KJul 11 vs Apr 12

Sources

2 sourcesLibraries.io API + AIwire · as of July 12, 2026

Cited source

AIwireLangChain and NVIDIA Launch NemoClaw Deep Agents Blueprint for Enterprise Agents · Jul 8

AIwire reported that LangChain and NVIDIA launched the NemoClaw Deep Agents blueprint, a reference architecture for building open agent systems with benchmark-leading performance and lower inference costs, while LangChain's PyPI dependents increased 32.8% over the last 90 days, with Libraries.io data through Jul 11.

What this does not prove: Does not show install volume, runtime use, paid use, customer count, revenue, market share, product quality, or code that depends on the package outside indexed PyPI metadata.