OpenSearch Dashboards
This feed samples OpenSearch Dashboards; its latest entry is a 2.19.7 notes commit.
Comparison · Analytics
Apify vs Deepnote
A side-by-side editorial comparison of Apify and Deepnote — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mcp
Apify vs Deepnote: at a glance
| Feature | Apify | Deepnote |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 2.5 |
| Sparks · 30d | 0 | 0 |
| Top themes | ai-agents, mcp, actor-marketplace, breaking-changes | data notebooks, agentic ai, mcp, workspace context |
| Last editorial update | 7h ago | 1h ago |
| Website | — | — |
What is Apify?
Apify reshapes its Store API for agents, and it will break some integrations on Nov 15.
Apify's October work treats AI agents as the main Store client. On November 15, GET /v2/store moves to a relevance-ranked search backend: search returns a single page of at most 100 results, offset and sortBy are ignored, total and count change meaning, and noisy fields are dropped to save agent context. Earlier in October, the MCP server gained tools to build Actors, read build and run logs and read source files, and the Store was regrouped into use-case categories.
What is Deepnote?
Deepnote's agent now runs from first prompt to finished notebook without handoffs.
Deepnote's most recent entry, in October, makes Deepnote Agent a single agent that keeps context from the first instruction to the finished notebook, and lets private and shared projects sit in the same folder. It builds on June's native Codex connection to a workspace's notebooks, schedules and data, and July's MCP tools that let agents create and attach integrations. Spring releases added run snapshots, Git sync, Polars support, PDF export and AI usage metering.
Apify vs Deepnote: editorial side-by-side
Apify
5.0ANALYTICS
Apify reshapes its Store API for agents, and it will break some integrations on Nov 15.
◆ Current state
Apify's October work treats AI agents as the main Store client. On November 15, GET /v2/store moves to a relevance-ranked search backend: search returns a single page of at most 100 results, offset and sortBy are ignored, total and count change meaning, and noisy fields are dropped to save agent context. Earlier in October, the MCP server gained tools to build Actors, read build and run logs and read source files, and the Store was regrouped into use-case categories.
◆ Where it's heading
The arc from June to now is consistent: MCP connectors, x402 payments for agents without accounts, Apify AI for plain-English runs, and now a Store API and MCP toolset tuned for agents over human paging. Apify is accepting breakage for existing integrations in exchange for better agent results.
◆ Prediction
Expect migration guidance and possibly a grace period around the November 15 cutover, followed by more MCP tools moving into the default set.
Deepnote
2.5ANALYTICS
Deepnote's agent now runs from first prompt to finished notebook without handoffs.
◆ Current state
Deepnote's most recent entry, in October, makes Deepnote Agent a single agent that keeps context from the first instruction to the finished notebook, and lets private and shared projects sit in the same folder. It builds on June's native Codex connection to a workspace's notebooks, schedules and data, and July's MCP tools that let agents create and attach integrations. Spring releases added run snapshots, Git sync, Polars support, PDF export and AI usage metering.
◆ Where it's heading
The notebook is being repositioned as a workspace agents operate in, both Deepnote's own agent and external ones like Codex. Releases have slowed from monthly in spring to one entry each in July and October.
◆ Prediction
Further agent capabilities or more external agent connections are the likeliest next move; the slower cadence makes timing hard to read.
Alternatives to Apify and Deepnote
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Apify or Deepnote.
Apache Iceberg
Iceberg 1.12 drops Spark 3.4 and starts laying groundwork for the v4 table spec.
ManageEngine Log360
Log360's September build fixes the migration to the unified console.
Apache Storm
Storm 3.1 adds an Iceberg sink and closes a long list of security gaps in Nimbus and the UI.
Apache HertzBeat
HertzBeat's 1.9.0 is on its second release candidate, and the feed still skips 1.8.0.
OpenPanel
OpenPanel moves from 3.18 to 3.20 in two days, still without a word of release notes.
See all Apify alternatives → · See all Deepnote alternatives →
Recent activity from Apify and Deepnote
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3d agoApifyApify Store API: new search backend and breaking changes
- 17d agoApifyBuild and debug Actors with new Apify MCP tools
- 24d agoDeepnotePrivate and shared projects can live in the same folder
- 27d agoApifyFind Actors by use case with new Store categories
- 2mo agoApifyCreate an Actor with a Git repo in a few clicks
- 3mo agoApifyApify AI (beta) is live. Describe what you need and get results ⚡
- 4mo agoDeepnoteNew MCP tools for integrations
- 4mo agoApifyPay for Apify Actors with x402 ⚡
- 5mo agoDeepnoteYour workspace as the context for every exploration ⚡
- 6mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 6mo agoDeepnoteRun snapshots, Git sync, & AI usage visibility
- 6mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
Frequently asked questions
What is the difference between Apify and Deepnote?
Both compete on the same themes — mcp — within Analytics. Apify is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Apify better than Deepnote?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apify is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Apify?
Top Apify alternatives in Analytics are ranked by recent ship velocity. Browse the "Apify alternatives" section above for the current picks, or visit /alternatives/apify for the full list with editorial commentary on each.
What are the best alternatives to Deepnote?
Top Deepnote alternatives in Analytics are ranked by recent ship velocity. Browse the "Deepnote alternatives" section above for the current picks, or visit /alternatives/deepnote for the full list with editorial commentary on each.