{ "slug": "autogluon", "name": "AutoGluon", "company": "AutoGluon contributors", "website": "https://auto.gluon.ai/stable/index.html", "category": "data-analytics", "business_model": "open", "availability": "unknown", "launched": null, "tags": [ "data", "developer-tools" ], "updated": "2026-11-03", "sources": [ { "title": "AutoGluon — official product", "url": "https://auto.gluon.ai/stable/index.html" }, { "title": "AutoGluon — official documentation and terms", "url": "https://github.com/autogluon/autogluon" } ], "selection": { "tasks": [ "data-analysis" ], "form_factor": "library", "platforms": [ "linux", "macos", "windows" ], "deployment": [ "local", "self-hosted" ], "offline": "unknown", "regions": [ "unknown" ], "api": "unknown", "license": "unknown", "commercial_use": "unknown", "languages": [ "unknown" ], "billing": { "models": [ "open-source" ], "free_allowance": "yes", "requires_subscription": "no" } }, "selection_evidence": { "tasks": { "status": "editorial_inference", "note": "Editorial classification of the documented features; not a product-performance test." }, "form_factor": { "status": "editorial_inference", "note": "Editorial classification of the documented features; not a product-performance test." }, "platforms": { "status": "editorial_inference", "note": "Editorial classification of the documented features; not a product-performance test." }, "deployment": { "status": "editorial_inference", "note": "Editorial classification of the documented features; not a product-performance test." }, "offline": { "status": "unknown", "note": "This product-specific field was not established in this entry’s source review." }, "regions": { "status": "unknown", "note": "This product-specific field was not established in this entry’s source review." }, "api": { "status": "unknown", "note": "This product-specific field was not established in this entry’s source review." }, "license": { "status": "unknown", "note": "This product-specific field was not established in this entry’s source review." }, "commercial_use": { "status": "unknown", "note": "This product-specific field was not established in this entry’s source review." }, "languages": { "status": "unknown", "note": "This product-specific field was not established in this entry’s source review." }, "billing": { "status": "editorial_inference", "note": "Editorial classification of the documented features; not a product-performance test." } }, "facts": [ { "id": "autogluon.capability.primary", "field": "capability", "value": "Automated model fitting for tabular datasets", "status": "verified", "evidence_type": "official_page", "checked": "2026-11-03", "sources": [ "https://auto.gluon.ai/stable/index.html" ] } ], "docs_url": "https://auto.gluon.ai/stable/index.html", "description": "AutoML library for training predictive models on tabular, time-series and multimodal data.", "overview": "Typical uses include Predictive analytics; Development and operation of machine learning workflows. Documented capabilities: Automated model fitting for tabular datasets; Time-series forecasting with model ensembles; Multimodal prediction combining text, images and tables.", "features": [ "Automated model fitting for tabular datasets", "Time-series forecasting with model ensembles", "Multimodal prediction combining text, images and tables" ], "use_cases": [ "Predictive analytics", "Development and operation of machine learning workflows" ], "pricing_notes": "AutoGluon is an Apache-2.0 Python library rather than a hosted subscription. Budget training and inference compute, storage and any separately licensed model assets; managed services built with AutoGluon have their own charges.", "faq": [ { "q": "Where does AutoGluon fit in a workflow?", "a": "AutoML library for training predictive models on tabular, time-series and multimodal data. Automated model fitting for tabular datasets." }, { "q": "What costs and limits should I compare before choosing AutoGluon?", "a": "AutoGluon is an Apache-2.0 Python library rather than a hosted subscription. Budget training and inference compute, storage and any separately licensed model assets; managed services built with AutoGluon have their own charges." } ], "i18n": { "zh": { "description": "针对表格、时间序列和多模态数据训练预测模型的AutoML库。", "overview": "典型用途包括预测分析、机器学习工作流开发与运行。文档列明的能力包括：表格数据集自动模型拟合；结合模型集成的时间序列预测；融合文本、图像及表格的多模态预测。", "features": [ "表格数据集自动模型拟合", "结合模型集成的时间序列预测", "融合文本、图像及表格的多模态预测" ], "use_cases": [ "预测分析", "机器学习工作流开发与运行" ], "pricing_notes": "AutoGluon是Apache-2.0 Python库，而非托管订阅。需预算训练推理计算、存储及另行许可模型资产费用，基于AutoGluon的托管服务独立收费。", "faq": [ { "q": "AutoGluon适合工作流中的哪个环节？", "a": "针对表格、时间序列和多模态数据训练预测模型的AutoML库。 表格数据集自动模型拟合." }, { "q": "选择AutoGluon前应比较哪些费用和限制？", "a": "AutoGluon是Apache-2.0 Python库，而非托管订阅。需预算训练推理计算、存储及另行许可模型资产费用，基于AutoGluon的托管服务独立收费。" } ], "selection_evidence": { "tasks": { "note": "依据所记录功能作出的编辑归类，非产品性能实测。" }, "form_factor": { "note": "依据所记录功能作出的编辑归类，非产品性能实测。" }, "platforms": { "note": "依据所记录功能作出的编辑归类，非产品性能实测。" }, "deployment": { "note": "依据所记录功能作出的编辑归类，非产品性能实测。" }, "offline": { "note": "本条目的来源核查尚未确认这一产品字段。" }, "regions": { "note": "本条目的来源核查尚未确认这一产品字段。" }, "api": { "note": "本条目的来源核查尚未确认这一产品字段。" }, "license": { "note": "本条目的来源核查尚未确认这一产品字段。" }, "commercial_use": { "note": "本条目的来源核查尚未确认这一产品字段。" }, "languages": { "note": "本条目的来源核查尚未确认这一产品字段。" }, "billing": { "note": "依据所记录功能作出的编辑归类，非产品性能实测。" } }, "facts": { "autogluon.capability.primary": { "value": "表格数据集自动模型拟合" } } }, "es": { "description": "Biblioteca AutoML para predicción con tablas, series temporales y datos multimodales.", "overview": "Usos habituales: Analítica predictiva; Desarrollo y operación de flujos de aprendizaje automático. Funciones documentadas: Ajuste automático de modelos tabulares; Pronóstico temporal con conjuntos de modelos; Predicción combinando texto, imágenes y tablas.", "features": [ "Ajuste automático de modelos tabulares", "Pronóstico temporal con conjuntos de modelos", "Predicción combinando texto, imágenes y tablas" ], "use_cases": [ "Analítica predictiva", "Desarrollo y operación de flujos de aprendizaje automático" ], "pricing_notes": "AutoGluon es una biblioteca Python Apache-2.0, no una suscripción alojada. Calcula cómputo, almacenamiento y modelos con licencias propias; servicios gestionados tienen cargos distintos.", "faq": [ { "q": "¿En qué parte del flujo encaja AutoGluon?", "a": "Biblioteca AutoML para predicción con tablas, series temporales y datos multimodales. Ajuste automático de modelos tabulares." }, { "q": "¿Qué costes y límites debo comparar antes de elegir AutoGluon?", "a": "AutoGluon es una biblioteca Python Apache-2.0, no una suscripción alojada. Calcula cómputo, almacenamiento y modelos con licencias propias; servicios gestionados tienen cargos distintos." } ], "selection_evidence": { "tasks": { "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento." }, "form_factor": { "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento." }, "platforms": { "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento." }, "deployment": { "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento." }, "offline": { "note": "La revisión de fuentes de esta entrada no estableció este dato del producto." }, "regions": { "note": "La revisión de fuentes de esta entrada no estableció este dato del producto." }, "api": { "note": "La revisión de fuentes de esta entrada no estableció este dato del producto." }, "license": { "note": "La revisión de fuentes de esta entrada no estableció este dato del producto." }, "commercial_use": { "note": "La revisión de fuentes de esta entrada no estableció este dato del producto." }, "languages": { "note": "La revisión de fuentes de esta entrada no estableció este dato del producto." }, "billing": { "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento." } }, "facts": { "autogluon.capability.primary": { "value": "Ajuste automático de modelos tabulares" } } }, "fr": { "description": "Bibliothèque AutoML pour modèles sur tableaux, séries temporelles et données multimodales.", "overview": "Usages courants : Analyse prédictive; Développement et exploitation de parcours d’apprentissage automatique. Fonctions documentées : Ajustement automatique des modèles tabulaires; Prévision temporelle avec ensembles; Prédiction combinant textes, images et tableaux.", "features": [ "Ajustement automatique des modèles tabulaires", "Prévision temporelle avec ensembles", "Prédiction combinant textes, images et tableaux" ], "use_cases": [ "Analyse prédictive", "Développement et exploitation de parcours d’apprentissage automatique" ], "pricing_notes": "AutoGluon est une bibliothèque Python Apache-2.0, pas un abonnement hébergé. Prévoyez calcul, stockage et modèles sous licence propre ; les services gérés ont leurs tarifs.", "faq": [ { "q": "Quelle place occupe AutoGluon dans un parcours de travail ?", "a": "Bibliothèque AutoML pour modèles sur tableaux, séries temporelles et données multimodales. Ajustement automatique des modèles tabulaires." }, { "q": "Quels coûts et limites comparer avant de choisir AutoGluon ?", "a": "AutoGluon est une bibliothèque Python Apache-2.0, pas un abonnement hébergé. Prévoyez calcul, stockage et modèles sous licence propre ; les services gérés ont leurs tarifs." } ], "selection_evidence": { "tasks": { "note": "Classement éditorial des fonctions documentées ; aucun test de performance." }, "form_factor": { "note": "Classement éditorial des fonctions documentées ; aucun test de performance." }, "platforms": { "note": "Classement éditorial des fonctions documentées ; aucun test de performance." }, "deployment": { "note": "Classement éditorial des fonctions documentées ; aucun test de performance." }, "offline": { "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit." }, "regions": { "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit." }, "api": { "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit." }, "license": { "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit." }, "commercial_use": { "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit." }, "languages": { "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit." }, "billing": { "note": "Classement éditorial des fonctions documentées ; aucun test de performance." } }, "facts": { "autogluon.capability.primary": { "value": "Ajustement automatique des modèles tabulaires" } } }, "ja": { "description": "表、時系列、マルチモーダルデータで予測モデルを学習するAutoMLライブラリ。", "overview": "主な用途は予測分析、機械学習ワークフローの開発と運用です。資料に記載された機能：表データの自動モデル学習；モデルアンサンブルによる時系列予測；テキスト、画像、表を組み合わせた予測。", "features": [ "表データの自動モデル学習", "モデルアンサンブルによる時系列予測", "テキスト、画像、表を組み合わせた予測" ], "use_cases": [ "予測分析", "機械学習ワークフローの開発と運用" ], "pricing_notes": "AutoGluonはApache-2.0のPythonライブラリで、ホスト型契約ではありません。学習・推論資源、保存、個別許諾モデルの費用を見込み、これを使う管理型サービスは別料金です。", "faq": [ { "q": "AutoGluonはワークフローのどの部分に向いていますか？", "a": "表、時系列、マルチモーダルデータで予測モデルを学習するAutoMLライブラリ。 表データの自動モデル学習." }, { "q": "AutoGluonを選ぶ前に比較すべき費用や制限は何ですか？", "a": "AutoGluonはApache-2.0のPythonライブラリで、ホスト型契約ではありません。学習・推論資源、保存、個別許諾モデルの費用を見込み、これを使う管理型サービスは別料金です。" } ], "selection_evidence": { "tasks": { "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。" }, "form_factor": { "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。" }, "platforms": { "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。" }, "deployment": { "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。" }, "offline": { "note": "この項目の資料確認では、この製品固有の情報は未確認です。" }, "regions": { "note": "この項目の資料確認では、この製品固有の情報は未確認です。" }, "api": { "note": "この項目の資料確認では、この製品固有の情報は未確認です。" }, "license": { "note": "この項目の資料確認では、この製品固有の情報は未確認です。" }, "commercial_use": { "note": "この項目の資料確認では、この製品固有の情報は未確認です。" }, "languages": { "note": "この項目の資料確認では、この製品固有の情報は未確認です。" }, "billing": { "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。" } }, "facts": { "autogluon.capability.primary": { "value": "表データの自動モデル学習" } } }, "de": { "description": "AutoML-Bibliothek für Vorhersagen auf Tabellen, Zeitreihen und multimodalen Daten.", "overview": "Typische Anwendungen: Prädiktive Analysen; Entwicklung und Betrieb von ML-Abläufen. Dokumentierte Funktionen: Automatische Modellanpassung für Tabellendaten; Zeitreihenvorhersage mit Modellensembles; Multimodale Vorhersage aus Text, Bildern und Tabellen.", "features": [ "Automatische Modellanpassung für Tabellendaten", "Zeitreihenvorhersage mit Modellensembles", "Multimodale Vorhersage aus Text, Bildern und Tabellen" ], "use_cases": [ "Prädiktive Analysen", "Entwicklung und Betrieb von ML-Abläufen" ], "pricing_notes": "AutoGluon ist eine Apache-2.0-Python-Bibliothek, kein Hostingabo. Trainings- und Inferenzressourcen, Speicher und separat lizenzierte Modelle einplanen; verwaltete Dienste haben eigene Gebühren.", "faq": [ { "q": "Wo passt AutoGluon in den Arbeitsablauf?", "a": "AutoML-Bibliothek für Vorhersagen auf Tabellen, Zeitreihen und multimodalen Daten. Automatische Modellanpassung für Tabellendaten." }, { "q": "Welche Kosten und Limits sollte ich vor der Wahl von AutoGluon vergleichen?", "a": "AutoGluon ist eine Apache-2.0-Python-Bibliothek, kein Hostingabo. Trainings- und Inferenzressourcen, Speicher und separat lizenzierte Modelle einplanen; verwaltete Dienste haben eigene Gebühren." } ], "selection_evidence": { "tasks": { "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest." }, "form_factor": { "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest." }, "platforms": { "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest." }, "deployment": { "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest." }, "offline": { "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt." }, "regions": { "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt." }, "api": { "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt." }, "license": { "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt." }, "commercial_use": { "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt." }, "languages": { "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt." }, "billing": { "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest." } }, "facts": { "autogluon.capability.primary": { "value": "Automatische Modellanpassung für Tabellendaten" } } }, "pt": { "description": "Biblioteca AutoML para predição com tabelas, séries temporais e dados multimodais.", "overview": "Usos comuns: Análise preditiva; Desenvolvimento e operação de fluxos de aprendizado de máquina. Recursos documentados: Ajuste automático de modelos tabulares; Previsão temporal com conjuntos de modelos; Predição combinando texto, imagens e tabelas.", "features": [ "Ajuste automático de modelos tabulares", "Previsão temporal com conjuntos de modelos", "Predição combinando texto, imagens e tabelas" ], "use_cases": [ "Análise preditiva", "Desenvolvimento e operação de fluxos de aprendizado de máquina" ], "pricing_notes": "AutoGluon é biblioteca Python Apache-2.0, não assinatura hospedada. Planeje computação, armazenamento e modelos com licenças próprias; serviços gerenciados têm cobranças distintas.", "faq": [ { "q": "Em que parte do fluxo AutoGluon se encaixa?", "a": "Biblioteca AutoML para predição com tabelas, séries temporais e dados multimodais. Ajuste automático de modelos tabulares." }, { "q": "Quais custos e limites comparar antes de escolher AutoGluon?", "a": "AutoGluon é biblioteca Python Apache-2.0, não assinatura hospedada. Planeje computação, armazenamento e modelos com licenças próprias; serviços gerenciados têm cobranças distintas." } ], "selection_evidence": { "tasks": { "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho." }, "form_factor": { "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho." }, "platforms": { "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho." }, "deployment": { "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho." }, "offline": { "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto." }, "regions": { "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto." }, "api": { "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto." }, "license": { "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto." }, "commercial_use": { "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto." }, "languages": { "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto." }, "billing": { "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho." } }, "facts": { "autogluon.capability.primary": { "value": "Ajuste automático de modelos tabulares" } } }, "ko": { "description": "표, 시계열, 멀티모달 데이터로 예측 모델을 학습하는 AutoML 라이브러리입니다.", "overview": "주요 용도는 예측 분석; 머신러닝 워크플로 개발 및 운영입니다. 문서에 명시된 기능: 표 데이터셋 자동 모델 학습; 모델 앙상블 시계열 예측; 텍스트, 이미지, 표 결합 멀티모달 예측.", "features": [ "표 데이터셋 자동 모델 학습", "모델 앙상블 시계열 예측", "텍스트, 이미지, 표 결합 멀티모달 예측" ], "use_cases": [ "예측 분석", "머신러닝 워크플로 개발 및 운영" ], "pricing_notes": "AutoGluon은 Apache-2.0 Python 라이브러리이며 호스팅 구독이 아닙니다. 학습 및 추론 자원, 저장, 별도 라이선스 모델 비용을 예산에 반영해야 하며 관리형 서비스는 별도 요금입니다.", "faq": [ { "q": "AutoGluon은(는) 워크플로의 어느 단계에 적합한가요?", "a": "표, 시계열, 멀티모달 데이터로 예측 모델을 학습하는 AutoML 라이브러리입니다. 표 데이터셋 자동 모델 학습." }, { "q": "AutoGluon 선택 전에 어떤 비용과 제한을 비교해야 하나요?", "a": "AutoGluon은 Apache-2.0 Python 라이브러리이며 호스팅 구독이 아닙니다. 학습 및 추론 자원, 저장, 별도 라이선스 모델 비용을 예산에 반영해야 하며 관리형 서비스는 별도 요금입니다." } ], "selection_evidence": { "tasks": { "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다." }, "form_factor": { "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다." }, "platforms": { "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다." }, "deployment": { "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다." }, "offline": { "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다." }, "regions": { "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다." }, "api": { "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다." }, "license": { "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다." }, "commercial_use": { "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다." }, "languages": { "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다." }, "billing": { "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다." } }, "facts": { "autogluon.capability.primary": { "value": "표 데이터셋 자동 모델 학습" } } } }, "verification": { "last_checked": "2026-11-03", "batch": "catalog-500-20261103", "source_review": "Official product pages read; no product-performance test.", "reviewed_sources": [ "https://auto.gluon.ai/stable/index.html", "https://github.com/autogluon/autogluon" ], "egress_region": "unknown", "owner": "technical", "gap_note": "Only documented product scope and supplied claims were reviewed. Fields left unknown were not established for this entry; no launch date, geographic guarantee or licence is inferred." }, "url": "https://globalaiproductindex.com/products/autogluon/" }