emerging · 1.8

Data Science

Score 22.1 / 100 95 providers 16 APIs Search apis.io →
Variants seen in the corpus: Data Sciencedata-science

Providers using this tag (95)

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Strong 3 Solid coverage with minor gaps
Developing 19 Usable, with meaningful gaps to close
Thin 24 Limited public surface area
DeepnoteNotebooksAnalyticsCollaboration6 APIs38.3ProbablCompanyOpen-SourceMachine-Learning1 API37.8JuliahubJuliaScientific ComputingCloud ComputingModeling and Simulation1 API37.6JupyterLabExtensionsIDEInteractive Computing7 APIs37.2DataRobotCompanyArtificial IntelligenceMachine-LearningMLOps1 API37.1Anomaly DetectionAnomaly DetectionArtificial IntelligenceFraud Detection8 APIs36.7MemesioMemesMediaImage-GenerationContent42 APIs36.0Abacus.aiCompanyAi MlArtificial IntelligenceMachine-Learning1 API35.7CoiledCompanyAi MlCloud Computing1 API35.0Julia ComputingCompanyJuliaScientific ComputingModeling and Simulation1 API34.9CausaLensCompanyArtificial IntelligenceCausal AIMachine-Learning1 API34.4Kubeflow PipelinesKubernetesMachine-LearningMLOps8 APIs34.1Terrain Discovery Environment APIBioinformaticsLife SciencesFilesystem9 APIs33.6Apache SparkAnalyticsBig DataDistributed ComputingMachine-Learning6 APIs33.0BitfountCompanyFederated LearningMachine-Learning1 API30.8Jupyter NotebooksInteractive ComputingJupyterNotebooks5 APIs30.6Maastricht UniversityEducationHigher EducationUniversityResearch38 APIs30.0ModelbitCompanyArtificial IntelligenceMachine-LearningMLOps1 API29.7Hilbert's AICompanyArtificial IntelligenceGrowthAnalytics1 API29.6LiftLabCompanyEnterpriseMarketingMarketing Measurement1 API29.0RapidCanvasCompanyArtificial IntelligenceMachine-LearningAgentic AI1 API28.2RRStatisticsOpen-Source5 APIs28.0JupyterEducationInteractive ComputingNotebooks12 APIs27.2McKinsey & CompanyConsultingManagement ConsultingStrategyProfessional Services26.6
Emerging 27 Early or largely undocumented
OuterboundsCompanyData AnalyticsMachine-LearningMLOps25.3PecanCompanyArtificial IntelligencePredictive AnalyticsMachine-Learning24.8SphinxCompanyArtificial IntelligenceData Governance23.1DataCampCompanyEducationE-Learning23.0HEAVY.AICompanyArtificial IntelligenceAnalyticsDatabase1 API21.9Mito AiCompanyData AnalyticsJupyterSpreadsheet21.9GenieCompanyWeb FrameworkJuliaData Apps20.0Bayes ImpactCompanyNon-ProfitArtificial Intelligence19.0Apache SystemDSAutoMLDistributed ComputingMachine-Learning1 API18.7Azure NotebooksAzureCloud ComputingJupyter17.5Domino Data LabCompanyMLOpsMachine-Learning17.5Oracle PlatformsAnalyticsCloud ComputingDatabaseEnterprise Software8 APIs17.3University of WaikatoEducationHigher EducationUniversityResearch5 APIs17.3LF AI and DataArtificial IntelligenceMachine-LearningDataLinux Foundation11 APIs17.2TredenceCompanyArtificial IntelligenceAnalytics17.0nferenceCompanyHealth TechArtificial IntelligenceClinical Research16.1GirnarSoftCompanySoftware DevelopmentIT ServicesOutsourcing15.5RapidminerCompanyArtificial IntelligenceMachine-Learning15.0QognitiveCompanyArtificial IntelligenceMachine-LearningQuantum14.5Bloom Institute of TechnologyCompanyConsumerEducationCoding Bootcamp13.8MobagelCompanyArtificial IntelligenceMachine-LearningAutoML13.2UdacityOnline LearningUpskillingNanodegreesTech Education12.2NumPyMachine-LearningNumerical AnalysisOpen-Source1 API11.9Newton ResearchCompanyAi MlMarketing AnalyticsMarTech11.8BrilliantLearningOnline LearningEducationSTEM11.5Fundamental TechnologiesCompanyArtificial IntelligenceMachine-LearningPredictive Analytics11.4Python Standard Library and PopularFrameworksLibrariesProgramming LanguagePython8 APIs11.2
Minimal 22 Almost no public developer surface

APIs with this tag (16)

Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →

Strong 1 Solid coverage with minor gaps
Developing 5 Usable, with meaningful gaps to close
Thin 5 Limited public surface area
Emerging 5 Early or largely undocumented

Score breakdown

Frequency
55.1
log-scaled weighted occurrences
Breadth
2.6
spread across providers
Quality lift
30.8
mean composite of providers using it
Cohesion
10.0
strength of nearest seed neighbor

Related tags

MLOps 17 co-occurrences Notebooks 11 co-occurrences Python 27 co-occurrences Predictive Analytics 12 co-occurrences Jupyter 6 co-occurrences Cloud Computing 8 co-occurrences Scientific Computing 6 co-occurrences Kernel 5 co-occurrences

Where this tag comes from

Provider tag84
Api tag16
Openapi tag1
Openapi op tag1

Cohort brief

Auto-generated

The 95 providers in the APIs.io catalog tagged Data Science, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.

Providers
95
all scored
Mean Kin Score
25.7
+5.0 vs catalog 20.7
Mean Agent Readiness
11.7
+2.0 vs catalog 9.7
Spread
0.7–62.6
median 24.8 · σ 16.1
How the 95 split by band
Exemplar 0Strong 3Developing 19Thin 24Emerging 27Minimal 22
Facet averages, against the whole catalog
FacetThis cohortCatalogDifferenceScored
Developer Ergonomics 29.4 17.9 +11.5 95
Operational Transparency 16.8 11.3 +5.5 95
Contract Quality 21.6 17.5 +4.1 95
Discoverability 63.2 60.4 +2.8 95
Access Clarity 24.6 22.3 +2.3 95
Contract Governance 7.7 6.4 +1.3 95

A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.

What this cohort publishes
ArtifactThis cohortCatalogDifference
MCP server (any) 23% 16% +7
MCP server (first-party) 14% 7% +7
Agent Skills 0% 0% 0
OAuth scopes 15% 9% +6
Security 92% 88% +4
Arazzo workflows 3% 2% +1
Governance rules 17% 13% +4

mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.

Top by Kin Score
  1. 1 IBM 62.6
  2. 2 Ledger Investing 57.8
  3. 3 Anaconda 54.9
  4. 4 Hex 53.7
  5. 5 Oracle 53
  6. 6 Nixtla 52.3
  7. 7 H2O.ai 51.9
  8. 8 Akkio 51.6
  9. 9 Numerai 48.4
  10. 10 RunBuggy 47.3
Top by Agent Readiness
  1. 1 H2O.ai 46.9
  2. 2 Oracle 41.9
  3. 3 Anaconda 41.4
  4. 4 IBM 39.4
  5. 5 Hex 37.6
  6. 6 Prior Labs 37.6
  7. 7 RunBuggy 33.9
  8. 8 Nixtla 32.4
  9. 9 Hilbert's AI 30.6
  10. 10 Probabl 28.6
All 95 members of this roster resolve to a scored provider in the catalog.Generated from the catalog build of 25 August 2026, across 26891 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.

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Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools

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The distribution (Pro)
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