Abstract: An enhanced integration of spreadsheet environments and external environments is disclosed herein that allows users to enter non-native statements directly into the cells of a worksheet so that external resources can be applied with respect to their values. In addition, a security model is disclosed whereby external functions referenced in the cells of a worksheet are executed in the context of a runtime environment that is secured apart from the spreadsheet application that hosts the worksheet. Various enhancements to the user experience are also disclosed that allow users to enter non-native statements in line with respect to the functional syntax that forms the basis of spreadsheet formulas.

Abstract: An enhanced integration of spreadsheet environments and external environments is disclosed herein that allows users to enter non-native statements directly into the cells of a worksheet so that external resources can be applied with respect to their values. In addition, a security model is disclosed whereby external functions referenced in the cells of a worksheet are executed in the context of a runtime environment that is secured apart from the spreadsheet application that hosts the worksheet. Various enhancements to the user experience are also disclosed that allow users to enter non-native statements in line with respect to the functional syntax that forms the basis of spreadsheet formulas.

Abstract: An enhanced integration of spreadsheet environments and external environments is disclosed herein that allows users to enter non-native statements directly into the cells of a worksheet so that external resources can be applied with respect to their values. In addition, a security model is disclosed whereby external functions referenced in the cells of a worksheet are executed in the context of a runtime environment that is secured apart from the spreadsheet application that hosts the worksheet. Various enhancements to the user experience are also disclosed that allow users to enter non-native statements in line with respect to the functional syntax that forms the basis of spreadsheet formulas.

Abstract: An enhanced integration of spreadsheet environments and external environments is disclosed herein that allows users to enter non-native statements directly into the cells of a worksheet so that external resources can be applied with respect to their values. In addition, a security model is disclosed whereby external functions referenced in the cells of a worksheet are executed in the context of a runtime environment that is secured apart from the spreadsheet application that hosts the worksheet. Various enhancements to the user experience are also disclosed that allow users to enter non-native statements in line with respect to the functional syntax that forms the basis of spreadsheet formulas.

Abstract: An enhanced integration of spreadsheet environments and external environments is disclosed herein that allows users to enter non-native statements directly into the cells of a worksheet so that external resources can be applied with respect to their values. In addition, a security model is disclosed whereby external functions referenced in the cells of a worksheet are executed in the context of a runtime environment that is secured apart from the spreadsheet application that hosts the worksheet. Various enhancements to the user experience are also disclosed that allow users to enter non-native statements in line with respect to the functional syntax that forms the basis of spreadsheet formulas.

Abstract: Systems, methods, and software are disclosed herein for enhancing functions and formulas in spreadsheets. A computing apparatus detects a beginning of a formula in a cell of a spreadsheet. In response to detecting the beginning of the formula, the computing apparatus identifies one or more vector representations of a context of the cell and supplies the one or more vector representations as input to one or more machine learning models. The one or more machine learning models produce output comprising one or more suggested functions for the formula and one or more suggested operands, which the computing apparatus presents in a user interface to the spreadsheet.

Abstract: Systems, methods, and software are disclosed herein for enhancing functions and formulas in spreadsheets. A computing apparatus detects a beginning of a formula in a cell of a spreadsheet. In response to detecting the beginning of the formula, the computing apparatus identifies a vector representation of a context of the cell and supplies the vector representation as input to one or more machine learning models. The one or more machine learning models produce output comprising one or more suggested functions for the formula and one or more suggested operands, which the computing apparatus presents in a user interface to the spreadsheet.

Abstract: Aspects of the present disclosure relate to systems and methods for automatically constructing a new formula based upon an existing formula. Various methods are employed to analyze an existing formula in order to determine an intent. Once the intent is determined, a new formula may be constructed that satisfies the intent of the existing formula. Further aspects relate to validating the new formula to ensure it produces the same result as the existing formula which it is intended to replace. Various user interface elements are also disclosed which may be employed to provide the newly constructed formulas to users of an application. The various aspects to disclosed herein may be performed by an application, such as a spreadsheet application, performed in real-time, or provided as a remote service.

Abstract: Systems, methods, and software are disclosed herein for enhancing functions and formulas in spreadsheets. A computing apparatus detects a beginning of a formula in a cell of a spreadsheet. In response to detecting the beginning of the formula, the computing apparatus identifies one or more vector representations of a context of the cell and supplies the one or more vector representations as input to one or more machine learning models. The one or more machine learning models produce output comprising one or more suggested functions for the formula and one or more suggested operands, which the computing apparatus presents in a user interface to the spreadsheet.

Abstract: Systems, methods, and software are disclosed herein for enhancing functions and formulas in spreadsheets. A computing apparatus detects a beginning of a formula in a cell of a spreadsheet. In response to detecting the beginning of the formula, the computing apparatus identifies a vector representation of a context of the cell and supplies the vector representation as input to one or more machine learning models. The one or more machine learning models produce output comprising one or more suggested functions for the formula and one or more suggested operands, which the computing apparatus presents in a user interface to the spreadsheet.

Abstract: Aspects of the present disclosure relate to systems and methods for automatically constructing a new formula based upon an existing formula. Various methods are employed to analyze an existing formula in order to determine an intent. Once the intent is determined, a new formula may be constructed that satisfies the intent of the existing formula. Further aspects relate to validating the new formula to ensure it produces the same result as the existing formula which it is intended to replace. Various user interface elements are also disclosed which may be employed to provide the newly constructed formulas to users of an application. The various aspects to disclosed herein may be performed by an application, such as a spreadsheet application, performed in real-time, or provided as a remote service.